Machinelearning | A25A2BEA3BFCED4FD1E0726E1C0B38132A48AD52

Machinelearning

Name	machinelearning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	542.1 MB
Total Files	890
Hash	A25A2BEA3BFCED4FD1E0726E1C0B38132A48AD52

/Volume 01/#1/
00 - Editorial. On Machine Learning.pdf	339.5 KB
01 - Chunking in Soar. The Anatomy of a General Learning Mechanism.pdf	2.4 MB
02 - Explanation-Based Generalization. A Unifying View.pdf	2.2 MB
03 - Induction of Decision Trees.pdf	1.4 MB
04 - A Theory of Historical Discovery. The Construction of Componential Models.pdf	1.6 MB
/Volume 01/#2/
00 - Editorial. The Terminology of Machine Learning.pdf	193.7 KB
01 - Explanation-Based Learning. An Alternative View.pdf	1.8 MB
02 - A General Framework for Induction and a Study of Selective Induction.pdf	2.7 MB
03 - News and Notes.pdf	874.7 KB
/Volume 01/#3/
00 - Editorial. Human and Machine Learning.pdf	265.9 KB
01 - Experimental Goal Regression. A Method for Learning Problem-Solving Heuristics.pdf	1.4 MB
02 - Learning at the Knowledge Level.pdf	1.4 MB
03 - Incremental Learning from Noisy Data.pdf	1.8 MB
04 - News and Notes.pdf	182.5 KB
/Volume 01/#4/
00 - Editorial. Machine Learning and Discovery.pdf	200.8 KB
01 - Integrating Quantitative and Qualitative Discovery. The ABACUS System.pdf	1.7 MB
02 - Determining Arguments of Invariant Functional Descriptions.pdf	973.5 KB
03 - Chemical Discovery as Belief Revision.pdf	1.3 MB
04 - News and Notes.pdf	69.8 KB
/Volume 02/#1/
00 - Machine Learning and Grammar Induction.pdf	207.6 KB
01- Learning Syntax by Automata Induction.pdf	1.2 MB
02 - A Version Space Approach to Learning Context-free Grammars.pdf	1.7 MB
03 - News and Notes.pdf	1.2 MB
/Volume 02/#2/
00 - Machine learning and concept formation.pdf	184.1 KB
01 - Experiments with incremental concept formation. UNIMEM.pdf	1.4 MB
02 - Knowledge acquisition via incremental conceptual clustering.pdf	1.4 MB
03 - A review of the fourth International Workshop on Machine Learning.pdf	907.4 KB
04 - News and notes.pdf	86.4 KB
/Volume 02/#3/
00 - Research papers in machine learning.pdf	189.3 KB
01 - Classifier systems and the animat problem.pdf	1.3 MB
02 - Learning decision lists.pdf	736.1 KB
03 - Theory change via view application in instructionless learning.pdf	1.5 MB
04 - News and notes.pdf	77.9 KB
05 - Announcement.pdf	30.0 KB
/Volume 02/#4/
00 - New theoretical directions in machine learning.pdf	155.9 KB
01 - Learning quickly when irrelevant attributes abound. A new linear-threshold algorithm.pdf	1.4 MB
02 - Queries and concept learning.pdf	1.0 MB
03 - Learning from noisy examples.pdf	1.1 MB
04 - Criteria for polynomial-time (conceptual) clustering.pdf	1.1 MB
05 - News and notes.pdf	98.5 KB
06 - Announcing a new journal.pdf	65.7 KB
/Volume 03/#1/
00 - Machine learning as an experimental science.pdf	207.0 KB
01 - Learning to predict by the methods of temporal differences.pdf	1.6 MB
02 - Learning by failing to explain. Using partial explanations to learn in incomplete or intractable domains.pdf	1.4 MB
03 - A review of machine learning at AAAI-87.pdf	667.1 KB
/Volume 03/#2-3/
00 - Genetic algorithms and Machine Learning.pdf	231.9 KB
01 - Genetic algorithms in noisy environments.pdf	960.4 KB
02 - Learning with genetic algorithms. An overview.pdf	854.0 KB
03 - A tale of two classifier systems.pdf	932.0 KB
04 - Classifier systems that learn internal world models.pdf	1.4 MB
05 - Learning and programming in classifier systems.pdf	1.4 MB
06 - Credit assignment in rule discovery systems based on genetic algorithms.pdf	914.3 KB
07 - News and notes.pdf	109.9 KB
/Volume 03/#4/
00 - Toward a unified science of machine learning.pdf	388.5 KB
01 - The CN2 induction algorithm.pdf	1.1 MB
02 - A heuristic approach to the discovery of macro-operators.pdf	1.4 MB
03 - An empirical comparison of selection measures for decision-tree induction.pdf	1.0 MB
04 - Conceptual clustering, categorization, and polymorphy.pdf	1.4 MB
05 - News and notes.pdf	147.7 KB
06 - Erratum.pdf	26.1 KB
/Volume 04/#1/
00 - Editorial.pdf	102.6 KB
01 - Learning conjunctive concepts in structural domains.pdf	1.5 MB
02 - Semi-supervised learning.pdf	1.0 MB
03 - On learning sets and functions.pdf	1.3 MB
04 - Efficient specialization of relational concepts.pdf	352.3 KB
05 - News and notes.pdf	123.0 KB
/Volume 04/#2/
00 - Editorial.pdf	123.8 KB
01 - LT Revisited. Explanation-Based Learning and the Logic of Principia Mathematica.pdf	2.6 MB
02 - Incremental Induction of Decision Trees.pdf	1.2 MB
03 - A Study of Explanation-Based Methods for Inductive Learning.pdf	1.9 MB
04 - An Empirical Comparison of Pruning Methods for Decision Tree Induction.pdf	813.4 KB
/Volume 04/#3-4/
00 - Introduction. A sampler in knowledge acquisition for the machine learning community.pdf	131.8 KB
01 - Can machine learning offer anything to expert systems.pdf	192.6 KB
02 - When will machines learn.pdf	138.2 KB
03 - Supporting start-to-finish development of knowledge bases.pdf	1.1 MB
04 - The knowledge level reinterpreted. Modeling how systems interact.pdf	357.2 KB
05 - Automated knowledge acquisition for strategic knowledge.pdf	2.1 MB
06 - The world would be a better place if non-programmers could program.pdf	94.3 KB
07 - Task-structures, knowledge acquisition and learning.pdf	304.7 KB
08 - Automated support for building and extending expert models.pdf	1.5 MB
09 - Knowledge acquisition for knowledge-based systems. Notes on the state-of-the-art.pdf	805.6 KB
/Volume 05/#1/
00 - Editorial Exploratory research in machine learning.pdf	232.7 KB
01 - Extending domain theories. Two case studies in student modeling.pdf	1.1 MB
02 - Acquiring recursive and iterative concepts with explanation-based learning.pdf	1.5 MB
03 - Boolean feature discovery in empirical learning.pdf	1.1 MB
04 - A necessary condition for learning from positive examples.pdf	434.8 KB
05 - Announcements.pdf	36.6 KB
/Volume 05/#2/
00 - Introduction. Special issue on computational learning theory.pdf	223.9 KB
01 - Negative results for equivalence queries.pdf	1.1 MB
02 - Polynomial time learnability of simple deterministic languages.pdf	564.3 KB
03 - Learning nested differences of intersection-closed concept classes.pdf	1.4 MB
04 - The strength of weak learnability.pdf	1.3 MB
05 - Errata.pdf	18.2 KB
/Volume 05/#3/
00 - Editorial advice to Machine Learning authors.pdf	202.9 KB
01 - Learning logical definitions from relations.pdf	1.1 MB
02 - Empirical learning as a function of concept character.pdf	1.4 MB
03 - The problem of expensive chunks and its solution by restricting expressiveness.pdf	2.3 MB
/Volume 05/#4/
00 - Introduction.pdf	139.1 KB
01 - Learning sequential decision rules using simulation models and competition.pdf	1.1 MB
02 - CSM. A computational model of cumulative learning.pdf	1.1 MB
03 - Probability matching, the magnitude of reinforcement, and classifier system bidding.pdf	774.7 KB
04 - Empirical learning using rule threshold optimization for detection of events in synthetic images.pdf	1.0 MB
05 - Call for papers for ICGA-91.pdf	46.3 KB
/Volume 06/#1/
00 - Editorial.pdf	65.0 KB
01 - Rigel. An Inductive Learning System.pdf	1.8 MB
02 - Instance-Based Learning Algorithms.pdf	1.5 MB
03 - Information-Based Evaluation Criterion for Classifier's Performance.pdf	646.8 KB
04 - A Distance-Based Attribute Selection Measure for Decision Tree Induction.pdf	381.3 KB
05 - Improved Estimates for the Accuracy of Small Disjuncts.pdf	286.3 KB
06 - Book Review. Exemplar-Based Knowledge Acquisition, by Ray Bareiss. Academic Press, 1989.pdf	248.0 KB
07 - A Reply To Reich's Book Review of Exemplar-Based Knowledge Acquisition.pdf	99.3 KB
/Volume 06/#2/
00 - Symbolic and neural learning algorithms. An experimental comparison.pdf	1.5 MB
01 - A PAC algorithm for making feature maps.pdf	720.8 KB
02 - Learning search control knowledge. An explanation-based approach.pdf	428.4 KB
02 - Letter recognition using Holland-style adaptive classifiers.pdf	1.0 MB
03 - A critical look at experimental evaluations of EBL.pdf	606.8 KB
04 - A reply to Zito-Wolf's book review ofLearning search control knowledge. An explanation-based approach.pdf	100.4 KB
/Volume 06/#3/
00 - Complexity Results on Learning by Neural Nets.pdf	753.2 KB
01 - The Use of Background Knowledge in Decision Tree Induction.pdf	686.2 KB
02 - A Nearest Hyperrectangle Learning Method.pdf	1.3 MB
03 - Conflict Resolution as Discovery in Particle Physics.pdf	1.5 MB
/Volume 07/#1/
00 - Editorial.pdf	42.3 KB
01 - An incremental deductive strategy for controlling constructive induction in learning from examples.pdf	1.9 MB
02 - Learning to perceive and act by trial and error.pdf	1.7 MB
03 - Learning to predict non-deterministically generated strings.pdf	630.3 KB
/Volume 07/#2-3/
00 - Introduction.pdf	169.9 KB
01 - Learning Automata from Ordered Examples.pdf	1.9 MB
02 - SLUG. A Connectionist Architecture for Inferring the Structure of Finite-State Environments.pdf	1.8 MB
03 - Graded State Machines. The Representation of Temporal Contingencies in Simple Recurrent Networks.pdf	2.3 MB
04 - Distributed Representations, Simple Recurrent Networks, And Grammatical Structure.pdf	1.8 MB
05 - The Induction of Dynamical Recognizers.pdf	2.4 MB
/Volume 08/#1/
00 - Learning Two-Tiered Descriptions of Flexible Concepts. The POSEIDON System.pdf	2.1 MB
01 - Implementing Valiant's Learnability Theory Using Random Sets.pdf	1.4 MB
02 - A Further Comparison of Splitting Rules for Decision-Tree Induction.pdf	507.9 KB
03 - On the Handling of Continuous-Valued Attributes in Decision Tree Generation.pdf	840.7 KB
/Volume 08/#2/
00 - Editorial.pdf	50.5 KB
01 - Interactive concept-learning and constructive induction by analogy.pdf	1.9 MB
02 - Learning probabilistic automata and Markov chains via queries.pdf	705.7 KB
03 - Abductive explanation-based learning. A solution to the multiple inconsistent explanation problem.pdf	2.4 MB
04 - Announcement.pdf	34.6 KB
/Volume 08/#3-4/
00 - Introduction. The Challenge of Reinforcement Learning.pdf	162.8 KB
01 - Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning.pdf	1.2 MB
02 - Practical Issues in Temporal Difference Learning.pdf	1.6 MB
03 - Technical Note. Q-Learning.pdf	528.6 KB
04 - Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching.pdf	1.4 MB
05 - Transfer of Learning by Composing Solutions of Elemental Sequential Tasks.pdf	952.3 KB
06 - The Convergence of TD(lambda) for General lambda.pdf	765.2 KB
07 - A Reinforcement Connectionist Approach to Robot Path Finding in Non-Maze-Like Environments.pdf	2.3 MB
/Volume 09/#1/
00 - Machine Learning. A Maturing Field.pdf	172.0 KB
01 - Dynamic Parameter Encoding for Genetic Algorithms.pdf	722.2 KB
02 - Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization.pdf	1.5 MB
03 - The Utility of Knowledge in Inductive Learning.pdf	1.7 MB
04 - Book Review. Neural Network Design and the Complexity of Learning, by J. Stephen Judd. Cambridge, MA. MIT Press, 1990.pdf	197.7 KB
05 - A Reply to Honavar's Book Review of Neural Network Design and the Complexity of Learning.pdf	67.9 KB
/Volume 09/#2-3/
00 - Introduction.pdf	200.1 KB
01 - Lower Bound Methods and Separation Results for On-Line Learning Models.pdf	1.8 MB
02 - Learning Conjunctions of Horn Clauses.pdf	826.8 KB
03 - A Learning Criterion for Stochastic Rules.pdf	1.7 MB
04 - On the Computational Complexity of Approximating Distributions by Probabilistic Automata.pdf	2.0 MB
05 - A Universal Method of Scientific Inquiry.pdf	477.2 KB
/Volume 09/#4/
00 - Explorations of an Incremental, Bayesian Algorithm for Categorization.pdf	1.7 MB
01 - A Bayesian Method for the Induction of Probabilistic Networks from Data.pdf	1.8 MB
02 - A Framework for Average Case Analysis of Conjunctive Learning Algorithms.pdf	1.3 MB
03 - Learning Boolean Functions in an Infinite Attribute Space.pdf	665.6 KB
04 - Technical Note. First Nearest Neighbor Classification on Frey and Slate's Letter Recognition Problem.pdf	104.1 KB
/Volume 10/#1/
00 - Editorial.pdf	42.7 KB
01 - Synthesis of UNIX Programs Using Derivational Analogy.pdf	2.8 MB
02 - A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features.pdf	1.2 MB
03 - Induction Over the Unexplained. Using Overly-General Domain Theories to Aid Concept Learning.pdf	2.0 MB
/Volume 10/#2/
00 - Information filtering. Selection mechanisms in learning systems.pdf	1.9 MB
01 - Overfitting avoidance as bias.pdf	1.4 MB
02 - Creating a memory of causal relationships, by Michael Pazzani, Hillsdale, NJ. Lawrence Erlbaum, 1990.pdf	278.1 KB
03 - A reply to Cohen's book review of Creating a Memory of Causal Relationships.pdf	310.8 KB
/Volume 10/#3/
00 - Introduction.pdf	279.5 KB
01 - Indexing, Elaboration and Refinement. Incremental Learning of Explanatory Cases.pdf	2.9 MB
02 - Derivational Analogy in PRODIGY. Automating Case Acquisition, Storage, and Utilization.pdf	1.7 MB
03 - Opportunism and Learning.pdf	1.8 MB
04 - Integrating Feature Extraction and Memory Search.pdf	1.6 MB
05 - Wastewater Treatment Systems from Case–Based Reasoning.pdf	945.5 KB
/Volume 11/#1/
00 - Coding Decision Trees.pdf	686.1 KB
01 - Active Learning Using Arbitrary Binary Valued Queries.pdf	682.8 KB
02 - Noise-Tolerant Occam Algorithms and Their Applications to Learning Decision Trees.pdf	1.0 MB
03 - Very Simple Classification Rules Perform Well on Most Commonly Used Datasets.pdf	1.3 MB
04 - An Analysis of the WITT Algorithm.pdf	480.8 KB
/Volume 11/#2-3/
00 - Introduction.pdf	79.6 KB
01 - Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning.pdf	2.3 MB
03 - Multistrategy Learning and Theory Revision.pdf	1.1 MB
04 - Learning Causal Patterns. Making a Transition from Data-Driven to Theory-Driven Learning.pdf	1.1 MB
05 - Using Knowledge-Based Neural Networks to Improve Algorithms. Refining the Chou–Fasman Algorithm for Protein Folding.pdf	1.4 MB
06 - Balanced Cooperative Modeling.pdf	1.5 MB
07 - Plausible Justification Trees. A Framework for Deep and Dynamic Integration of Learning Strategies.pdf	1.1 MB
/Volume 12/#1-3/
00 - Introduction. Cognitive autonomy in machine discovery.pdf	545.2 KB
01 - An integrated framework for empirical discovery.pdf	1.6 MB
02 - Experience selection and problem choice in an exploratory learning system.pdf	881.3 KB
03 - Discovery by Minimal Length Encoding. A case study in molecular evolution.pdf	874.6 KB
04 - Design methods for scientific hypothesis formation and their application to molecular biology.pdf	1.4 MB
05 - Machine discovery of effective admissible heuristics.pdf	1.2 MB
06 - Discovery as autonomous learning from the environment.pdf	1.1 MB
07 - Bivariate scientific function finding in a sampled, real-data testbed.pdf	765.4 KB
08 - The design of discrimination experiments.pdf	908.2 KB
09 - Publisher's note.pdf	23.9 KB
/Volume 13/#1/
00 - Cost-Sensitive Learning of Classification Knowledge and Its Applications in Robotics.pdf	1.6 MB
01 - Explanation-Based Learning for Diagnosis.pdf	1.5 MB
02 - Extracting Refined Rules from Knowledge-Based Neural Networks.pdf	1.7 MB
03 - Prioritized Sweeping. Reinforcement Learning with Less Data and Less Time.pdf	2.0 MB
04 - Technical Note. Selecting a Classification Method by Cross-Validation.pdf	472.9 KB
05 - Book Review Machine Learning. A Theoretical Approach by Balas K. Natarajan. Morgan Kaufmann Publishers, Inc., 1991.pdf	283.8 KB
06 - A Reply to Hellerstein's Book Review of Machine Learning. A Theoretical Approach.pdf	84.5 KB
/Volume 13/#2-3/
00 - Introduction.pdf	225.4 KB
01 - Using Genetic Algorithms for Concept Learning.pdf	1.3 MB
02 - A Knowledge-Intensive Genetic Algorithm for Supervised Learning.pdf	2.6 MB
03 - Competition-Based Induction of Decision Models from Examples.pdf	1.5 MB
04 - Genetic Reinforcement Learning for Neurocontrol Problems.pdf	1.8 MB
05 - What Makes a Problem Hard for a Genetic Algorithm Some Anomalous Results and Their Explanation.pdf	2.1 MB
/Volume 14/#1/
00 - Foreword.pdf	43.3 KB
01 - Randomly Fallible Teachers. Learning Monotone DNF with an Incomplete Membership Oracle.pdf	883.0 KB
02 - Tracking Drifting Concepts By Minimizing Disagreements.pdf	798.7 KB
03 - Learning Probabilistic Read-once Formulas on Product Distributions.pdf	1.4 MB
04 - Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension.pdf	1.3 MB
05 - Approximation and Estimation Bounds for Artificial Neural Networks.pdf	881.7 KB
/Volume 14/#2/
00 - Guest Editorial.pdf	109.1 KB
01 - Hypothesis-Driven Constructive Induction in AQ17-HCI. A Method and Experiments.pdf	2.8 MB
02 - Concept Formation During Interactive Theory Revision.pdf	1.3 MB
03 - A Polynomial Approach to the Constructive Induction of Structural Knowledge.pdf	1.2 MB
04 - Flattening and Saturation. Two Representation Changes for Generalization.pdf	633.2 KB
05 - Explicit Representation of Concept Negation.pdf	547.3 KB
/Volume 14/#3/
00 - Algorithms and lower bounds for on-line learning of geometrical concepts.pdf	800.6 KB
01 - The power of self-directed learning.pdf	1.1 MB
02 - TD(lambda) converges with probability 1.pdf	304.3 KB
03 - Introduction to the abstracts of the invited talks presented at ML92 conference in Aberdeen, 1–3 July 1992.pdf	45.1 KB
04 - Machine learning and qualitative reasoning.pdf	381.0 KB
05 - Children, adults, and machines as discovery systems.pdf	350.1 KB
06 - Combining symbolic and neural learning.pdf	532.1 KB
07 - Statistical methods for analyzing speedup learning experiments.pdf	801.7 KB
/Volume 15/#1/
00 - Incremental Abductive EBL.pdf	1.1 MB
01 - The Importance of Attribute Selection Measures in Decision Tree Induction.pdf	811.3 KB
02 - Discrete Sequence Prediction and Its Applications.pdf	1.4 MB
03 - On-Line Learning from Search Failures.pdf	2.5 MB
/Volume 15/#2/
00 - Introduction. Structured Connectionist Systems.pdf	137.3 KB
01 - Neural Network-Based Vision for Precise Control of a Walking Robot.pdf	1.2 MB
02 - Using Neural Networks to Modularize Software.pdf	1.5 MB
03 - Higher-Order Neural Networks Applied to 2D and 3D Object Recognition.pdf	2.1 MB
04 - Improving Generalization with Active Learning.pdf	1.2 MB
/Volume 15/#3/
00 - Trading accuracy for simplicity in decision trees.pdf	1.2 MB
01 - Toward an ideal trainer.pdf	1.4 MB
02 - Associative reinforcement learning. Functions in k-DNF.pdf	854.1 KB
03 - Associative reinforcement learning. A generate and test algorithm.pdf	883.8 KB
04 - Bias in information-based measures in decision tree induction.pdf	374.4 KB
/Volume 16/#1-2/
00 - Editorial. New Editorial Board Members.pdf	64.4 KB
01 - Guest Editor's Introduction.pdf	122.8 KB
02 - Acquisition of Children's Addition Strategies. A Model of Impasse-Free, Knowledge-Level Learning.pdf	1.4 MB
03 - Case-Based Learning. Predictive Features in Indexing.pdf	1.1 MB
04 - Modeling Cognitive Development on Balance Scale Phenomena.pdf	1.8 MB
05 - Simulating the Child's Acquisition of the Lexicon and Syntax - Experiences With Babel.pdf	1.8 MB
06 - Acquiring and Combining Overlapping Concepts.pdf	1.8 MB
/Volume 16/#3/
00 - Learning nonoverlapping perceptron networks from examples and membership queries.pdf	1.1 MB
01 - Asynchronous stochastic approximation and Q-learning.pdf	702.1 KB
02 - Complexity-based induction.pdf	902.4 KB
03 - An upper bound on the loss from approximate optimal-value functions.pdf	267.7 KB
04 - C4.5. Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993.pdf	312.6 KB
/Volume 17/#1/
00 - Generalizing Version Spaces.pdf	2.0 MB
01 - Algebraic Reasoning about Reactions. Discovery of Conserved Properties in Particle Physics.pdf	954.2 KB
02 - Quantifying Prior Determination Knowledge Using the PAC Learning Model.pdf	1.6 MB
/Volume 17/#2-3/
00 - Guest editor's introduction.pdf	202.8 KB
01 - Toward efficient agnostic learning.pdf	1.3 MB
02 - A theory for memory-based learning.pdf	918.9 KB
03 - The learnability of description logics with equality constraints.pdf	1.4 MB
04 - On-line learning of rectangles and unions of rectangles.pdf	1.0 MB
/Volume 18/#1/
00 - A Branch and Bound Incremental Conceptual Clusterer.pdf	945.0 KB
01 - Probably Almost Discriminative Learning.pdf	1.2 MB
02 - A Comparison of ID3 and Backpropagation for English Text-To-Speech Mapping.pdf	1.2 MB
03 - Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning.pdf	1.5 MB
04 - Classification Accuracy. Machine Learning vs. Explicit Knowledge Acquisition.pdf	299.6 KB
05 - Book Review. Neural Network Perception For Mobile Robot Guidanceby Dean A. Pomerleau. Kluwer Academic Publishers, 1993.pdf	260.9 KB
06 - A Reply to Towell's Book Review of Neural Network Perception for Mobile Robot Guidance.pdf	86.9 KB
/Volume 18/#2-3/
00 - Guest Editor's Introduction.pdf	179.1 KB
01 - Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers.pdf	863.4 KB
02 - Learning Fallible Deterministic Finite Automata.pdf	1.6 MB
03 - On the Complexity of Function Learning.pdf	1.9 MB
04 - Piecemeal Learning of an Unknown Environment.pdf	1.9 MB
05 - Learning from a Population of Hypotheses.pdf	1.0 MB
/Volume 19/#1/
00 - An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms.pdf	1.8 MB
01 - Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms.pdf	746.0 KB
02 - Multivariate Decision Trees.pdf	1.7 MB
03 - Encouraging Experimental Results on Learning CNF.pdf	1.1 MB
/Volume 19/#2/
00 - Automated Refinement of First-Order Horn-Clause Domain Theories.pdf	1.7 MB
01 - Comprehension Grammars Generated from Machine Learning of Natural Languages.pdf	879.9 KB
02 - On Polynomial-Time Learnability in the Limit of Strictly Deterministic Automata.pdf	1.1 MB
/Volume 19/#3/
00 - On the Learnability of Disjunctive Normal Form Formulas.pdf	1.3 MB
01 - ALECSYS and the AutonoMouse. Learning to Control a Real Robot by Distributed Classifier Systems.pdf	2.4 MB
02 - On the Stochastic Complexity of Learning Realizable and Unrealizable Rules.pdf	961.6 KB
/Volume 20/#1-2/
00 - Evaluation and Selection of Biases in Machine Learning.pdf	980.7 KB
01 - Technical Note. Bias and the Quantification of Stability.pdf	618.4 KB
02 - Inductive Policy. The Pragmatics of Bias Selection.pdf	1.8 MB
03 - Recursive Automatic Bias Selection for Classifier Construction.pdf	1.8 MB
04 - The Appropriateness of Predicate Invention as Bias Shift Operation in ILP.pdf	1.3 MB
05 - Declarative Bias for Specific-to-General ILP Systems.pdf	1.5 MB
06 - Shifting Vocabulary Bias in Speedup Learning.pdf	2.0 MB
/Volume 20/#3/
00 - Learning Bayesian Networks. The Combination of Knowledge and Statistical Data.pdf	2.2 MB
01 - Learning Binary Relations Using Weighted Majority Voting.pdf	1.2 MB
02 - Support-Vector Networks.pdf	1.4 MB
/Volume 21/#1-2/
00 - Introduction.pdf	245.3 KB
01 - Genetic Algorithms, Operators, and DNA Fragment Assembly.pdf	1.2 MB
02 - Discovering Dependencies via Algorithmic Mutual Information. A Case Study in DNA Sequence Comparisons.pdf	671.8 KB
03 - Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization.pdf	1.2 MB
04 - DEXTER. A System that Experiments with Choices of Training Data Using Expert Knowledge in the Domain of DNA Hydration.pdf	1.1 MB
05 - Use of Adaptive Networks to Define Highly Predictable Protein Secondary–Structure Classes.pdf	1.0 MB
06 - Machine Discovery of Protein Motifs.pdf	1.2 MB
07 - Searching for Representations to Improve Protein Sequence Fold-Class Prediction.pdf	1.3 MB
08 - Neural Networks for Full-Scale Protein Sequence Classification. Sequence Encoding with Singular Value Decomposition.pdf	1.0 MB
/Volume 21/#3/
00 - The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces.pdf	2.1 MB
01 - An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts.pdf	1.7 MB
02 - Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension.pdf	1.8 MB
/Volume 22/#1-3/
00 - Editorial.pdf	86.3 KB
01 - Introduction.pdf	142.5 KB
02 - Efficient reinforcement learning through symbiotic evolution.pdf	1.0 MB
03 - Linear Least-Squares algorithms for temporal difference learning.pdf	943.7 KB
04 - Feature-based methods for large scale dynamic programming.pdf	1.4 MB
05 - On the worst-case analysis of temporal-difference learning algorithms.pdf	919.8 KB
06 - Reinforcement learning with replacing eligibility traces.pdf	1.2 MB
07 - Average reward reinforcement learning. Foundations, algorithms, and empirical results.pdf	1.6 MB
08 - The loss from imperfect value functions in expectation-based and minimax-based tasks.pdf	1.1 MB
09 - The effect of representation and knowledge on goal-directed exploration with reinforcement-learning algorithms.pdf	1.1 MB
10 - Creating advice-taking reinforcement learners.pdf	1.4 MB
11 - Incremental multi-step Q-learning.pdf	346.7 KB
/Volume 23/#1/
00 - Representation of Finite State Automata in Recurrent Radial Basis Function Networks.pdf	851.4 KB
01 - Scaling Up Inductive Learning with Massive Parallelism.pdf	486.1 KB
02 - Classification by Feature Partitioning.pdf	691.4 KB
03 - Learning in the Presence of Concept Drift and Hidden Contexts.pdf	998.2 KB
04 - Review of Inductive Logic Programming. Techniques and Applications by Nada Lavrac, Saso Dzeroski.pdf	201.7 KB
05 - A Reply to Pazzani's Book Review of Inductive Logic Programming. Techniques and Applications.pdf	86.9 KB
/Volume 23/#2-3/
00 - Introduction.pdf	104.3 KB
01 - Real-world robotics. Learning to plan for robust execution.pdf	1.7 MB
02 - Robot programming by Demonstration (RPD). Supporting the induction by human interaction.pdf	1.2 MB
03 - Performance improvement of robot continuous-path operation through iterative learning using neural networks.pdf	1.0 MB
04 - Learning controllers for industrial robots.pdf	1.3 MB
05 - Active learning for vision-based robot grasping.pdf	1.3 MB
06 - Purposive behavior acquisition for a real robot by vision-based reinforcement learning.pdf	997.0 KB
07 - Learning concepts from sensor data of a mobile robot.pdf	1.3 MB
/Volume 24/#1/
00 - BEXA. A Covering Algorithm for Learning Propositional Concept Descriptions.pdf	1.2 MB
01 - Technical Note. Some Properties of Splitting Criteria.pdf	195.2 KB
02 - Stacked Regressions.pdf	413.8 KB
03 - On Learning Visual Concepts and DNF Formulae.pdf	345.7 KB
/Volume 24/#2/
00 - A Lattice Conceptual Clustering System and Its Application to Browsing Retrieval.pdf	285.0 KB
01 - Bagging Predictors.pdf	300.7 KB
02 - Unifying Instance-Based and Rule-Based Induction.pdf	385.2 KB
/Volume 24/#3/
00 - Error Reduction through Learning Multiple Descriptions.pdf	320.0 KB
01 - A Decision-Tree Model of Balance Scale Development.pdf	322.2 KB
02 - Efficient Incremental Induction of Decision Trees.pdf	160.2 KB
/Volume 25/#1/
00 - Exploration Bonuses and Dual Control.pdf	256.4 KB
01 - On-line Prediction and Conversion Strategies.pdf	500.8 KB
01 - Using the Minimum Description Length Principle to Infer Reduced Ordered Decision Graphs.pdf	365.9 KB
02 - PAC Learning of One-Dimensional Patterns.pdf	586.4 KB
/Volume 25/#2-3/
00 - Guest editor's introduction.pdf	83.4 KB
01 - The power of amnesia. Learning probabilistic automata with variable memory length.pdf	1.4 MB
02 - Classic learning.pdf	2.1 MB
03 - Rigorous learning curve bounds from statistical mechanics.pdf	1.7 MB
04 - On the limits of proper learnability of subclasses of DNF formulas.pdf	1.4 MB
/Volume 26/#1/
00 - Empirical Support for Winnow and Weighted-Majority Algorithms Results on a Calendar Scheduling Domain.pdf	225.4 KB
01 - Exact Learning of Formulas in Parallel.pdf	149.9 KB
02 - Learning and Updating of Uncertainty in Dirichlet Models.pdf	372.6 KB
03 - A Microscopic Study of Minimum Entropy Search in Learning Decomposable Markov Networks.pdf	218.1 KB
/Volume 26/#2-3/
00 - Guest Editors' Introduction.pdf	41.3 KB
01 - Clausal Discovery.pdf	580.2 KB
02 - First Order Regression.pdf	289.6 KB
03 - Learning Qualitative Models of Dynamic Systems.pdf	640.0 KB
04 - Generalization of Clauses Relative to a Theory.pdf	123.1 KB
05 - A Pattern-Based First-Order Inductive System.pdf	333.5 KB
/Volume 27/#1/
00 - Guest Editor's Introduction.pdf	16.5 KB
01 - An Experimental and Theoretical Comparison of Model Selection Methods.pdf	840.0 KB
02 - Predicting Nearly As Well As the Best Pruning of a Decision Tree.pdf	327.1 KB
03 - Exactly Learning Automata of Small Cover Time.pdf	452.0 KB
04 - A Comparison of New and Old Algorithms for a Mixture Estimation Problem.pdf	478.1 KB
/Volume 27/#2/
00 - Characteristic Sets for Polynomial Grammatical Inference.pdf	115.9 KB
01 - Pruning Algorithms for Rule Learning.pdf	390.7 KB
02 - Representing Probabilistic Rules with Networks of Gaussian Basis Functions.pdf	333.9 KB
/Volume 27/#3/
00 - Guest Editors' Introduction.pdf	45.0 KB
01 - Integrating Multiple Learning Strategies in First Order Logics.pdf	396.0 KB
02 - Using Background Knowledge to Build Multistrategy Learners.pdf	124.3 KB
03 - Tracking Context Changes through Meta-Learning.pdf	324.5 KB
04 - A Multistrategy Approach to Relational Knowledge Discovery in Databases.pdf	368.0 KB
05 - Learning and Revising User Profiles The Identification of Interesting Web Sites.pdf	168.6 KB
/Volume 28/#1/
00 - Guest Editors' Introduction.pdf	12.9 KB
01 - A Bayesian-Information Theoretic Model of Learning to Learn via Multiple Task Sampling.pdf	417.8 KB
02 - Multitask Learning.pdf	390.7 KB
03 - CHILD A First Step Towards Continual Learning.pdf	318.4 KB
04 - Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement.pdf	382.0 KB
/Volume 28/#2-3/
00 - Selective Sampling Using the Query by Committee Algorithm.pdf	446.0 KB
01 - Explanation-Based Learning and Reinforcement Learning A Unified View.pdf	487.7 KB
02 - Malicious Omissions and Errors in Answers to Membership Queries.pdf	734.0 KB
03 - An Exact Probability Metric for Decision Tree Splitting and Stopping.pdf	391.4 KB
/Volume 29/#1/
00 - Decision Tree Induction Based on Efficient Tree Restructuring.pdf	364.8 KB
01 - Online Learning versus Offline Learning.pdf	329.8 KB
02 - Coping with Uncertainty in Map Learning.pdf	459.5 KB
/Volume 29/#2-3/
00 - Learning with Probabilistic Representations.pdf	126.6 KB
01 - On the Optimality of the Simple Bayesian Classifier under Zero-One Loss.pdf	353.3 KB
02 - Bayesian Network Classifiers.pdf	529.8 KB
03 - The Sample Complexity of Learning Fixed-Structure Bayesian Networks.pdf	294.6 KB
04 - Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables.pdf	411.4 KB
05 - Adaptive Probabilistic Networks with Hidden Variables.pdf	386.6 KB
06 - Factorial Hidden Markov Models.pdf	401.8 KB
07 - Predicting Protein Secondary Structure Using Stochastic Tree Grammars.pdf	406.0 KB
/Volume 30/#1/
00 - Guest Editor's Introduction.pdf	57.1 KB
01 - PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples.pdf	311.2 KB
02 - A Note on Learning from Multiple-Instance Examples.pdf	240.1 KB
03 - Strong Minimax Lower Bounds for Learning.pdf	184.1 KB
04 - Hardness Results for Learning First-Order Representations and Programming by Demonstration.pdf	489.8 KB
05 - On Restricted-Focus-of-Attention Learnability of Boolean Functions.pdf	524.0 KB
/Volume 30/#2-3/
00 - Guest Editors' Introduction On Applied Research in Machine Learning.pdf	98.3 KB
01 - Learning in the Real World.pdf	322.2 KB
02 - Learning to Recognize Volcanoes on Venus.pdf	964.6 KB
03 - Machine Learning for the Detection of Oil Spills in Satellite Radar Images.pdf	717.0 KB
04 - Knowledge-Based Learning in Exploratory Science Learning Rules to Predict Rodent Carcinogenicity.pdf	368.8 KB
05 - Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL.pdf	535.5 KB
06 - Glossary of Terms.pdf	143.8 KB
/Volume 31/#1-3/
00 - Foreword.pdf	15.7 KB
01 - Rapid Concept Learning for Mobile Robots.pdf	269.5 KB
02 - A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots.pdf	586.8 KB
03 - Module-Based Reinforcement Learning - Experiments with a Real Robot.pdf	219.9 KB
04 - Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory.pdf	248.1 KB
05 - Learning from Innate Behaviors - A Quantitative Evaluation of Neural Network Controllers.pdf	145.0 KB
06 - Learning from History for Behavior-Based Mobile Robots in Non-Stationary Conditions.pdf	284.5 KB
07 - Self Calibration of the Fixation Movement of a Stereo Camera Head.pdf	130.9 KB
08 - Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction.pdf	121.3 KB
09 - Training a Vision Guided Mobile Robot.pdf	190.4 KB
10 - Learning Dextrous Manipulation Skills for Multifingered Robot Hands Using the Evolution Strategy.pdf	186.8 KB
11 - Learning to Recognize and Grasp Objects.pdf	219.1 KB
/Volume 32/#1/
00 - Analytical Mean Squared Error Curves for Temporal Difference Learning.pdf	1.5 MB
01 - The Hierarchical Hidden Markov Model Analysis and Applications.pdf	443.4 KB
02 - Using Model Trees for Classification.pdf	207.1 KB
03 - Erratum.pdf	59.0 KB
/Volume 32/#2/
00 - Guest Editors'Introduction.pdf	36.3 KB
01 - Robust Sensor Fusion Analysis and Application to Audio Visual Speech Recognition.pdf	203.8 KB
02 - Extracting Hidden Context.pdf	237.2 KB
03 - Tracking the Best Disjunction.pdf	273.0 KB
04 - Tracking the Best Expert.pdf	434.5 KB
05 - Statistical Mechanics of Online Learning of Drifting Concepts A Variational Approach.pdf	306.2 KB
/Volume 32/#3/
00 - Localization vs. Identification of Semi-Algebraic Sets.pdf	160.8 KB
01 - Co-Evolution in the Successful Learning of Backgammon Strategy.pdf	192.1 KB
02 - Comments on “Co-Evolution in the Successful Learning of Backgammon Strategy”.pdf	23.6 KB
03 - Learning from Examples and Membership Queries with Structured Determinations.pdf	402.7 KB
/Volume 33/#1/
00 - Prequential and Cross-Validated Regression Estimation.pdf	193.7 KB
01 - Bayesian Landmark Learning for Mobile Robot Localization.pdf	517.9 KB
02 - Choice of Basis for Laplace Approximation.pdf	78.6 KB
03 - Self-Directed Learning and Its Relation to the VC-Dimension and to Teacher-Directed Learning.pdf	98.1 KB
04 - Fast Online Q(lambda).pdf	82.1 KB
/Volume 33/#2-3/
00 - Guest Editorial.pdf	32.6 KB
01 - Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments.pdf	292.0 KB
02 - Learning Coordination Strategies for Cooperative Multiagent Systems.pdf	451.5 KB
03 - Conjectural Equilibrium in Multiagent Learning.pdf	153.3 KB
04 - Colearning in Differential Games.pdf	242.0 KB
05 - Elevator Group Control Using Multiple Reinforcement Learning Agents.pdf	136.8 KB
06 - Learning Team Strategies Soccer Case Studies.pdf	177.2 KB
/Volume 34/#1-3/
00 - Guest Editors' Introduction Machine Learning and Natural Language.pdf	31.2 KB
01 - Forgetting Exceptions is Harmful in Language Learning.pdf	192.2 KB
02 - Similarity-Based Models of Word Cooccurrence Probabilities.pdf	173.1 KB
03 - An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery.pdf	193.1 KB
04 - A Winnow-Based Approach to Context-Sensitive Spelling Correction.pdf	900.0 KB
05 - Using Decision Trees to Construct a Practical Parser.pdf	105.5 KB
06 - Learning to Parse Natural Language with Maximum Entropy Models.pdf	154.1 KB
07 - Statistical Models for Text Segmentation.pdf	247.0 KB
08 - An Algorithm that Learns What's in a Name.pdf	138.1 KB
09 - Learning Information Extraction Rules for Semi-Structured and Free Text.pdf	215.3 KB
/Volume 35/#1/
00 - An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition.pdf	93.4 KB
01 - Concept Learning and Feature Selection Based on Square-Error Clustering.pdf	105.3 KB
02 - An Efficient Method To Estimate Bagging's Generalization Error.pdf	115.7 KB
03 - Learning to Take Actions.pdf	149.6 KB
/Volume 35/#2/
00 - Learning to Reason with a Restricted View.pdf	191.0 KB
01 - Exploration of Multi-State Environments Local Measures and Back-Propagation of Uncertainty.pdf	240.6 KB
02 - Toward a Model of Intelligence as an Economy of Agents.pdf	211.4 KB
/Volume 35/#3/
00 - Introducing the Special Issue of Machine Learning Selected from Papers Presented at the 1997 Conference on Computational Learning Theory, COLT '97.pdf	12.3 KB
01 - Universal Portfolios With and Without Transaction Costs.pdf	77.2 KB
02 - A Dichotomy Theorem for Learning Quantified Boolean Formulas.pdf	92.7 KB
03 - Estimation of Time-Varying Parameters in Statistical Models An Optimization Approach.pdf	114.3 KB
04 - Derandomizing Stochastic Prediction Strategies.pdf	167.3 KB
/Volume 36/#1-2/
00 - Guest Editors' Introduction.pdf	16.8 KB
01 - A Principal Components Approach to Combining Regression Estimates.pdf	140.3 KB
02 - Using Correspondence Analysis to Combine Classifiers.pdf	117.8 KB
03 - Linearly Combining Density Estimators via Stacking.pdf	272.6 KB
04 - Pasting Small Votes for Classification in Large Databases and On-Line.pdf	102.3 KB
05 - An Empirical Comparison of Voting Classification Algorithms Bagging, Boosting, and Variants.pdf	430.2 KB
/Volume 36/#3/
00 - Structural Results About On-line Learning Models With and Without Queries.pdf	178.3 KB
01 - An Efficient Extension to Mixture Techniques for Prediction and Decision Trees.pdf	123.1 KB
02 - General and Efficient Multisplitting of Numerical Attributes.pdf	388.7 KB
/Volume 37/#1/
00 - A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns.pdf	929.5 KB
01 - Minimum Generalization Via Reflection A Fast Linear Threshold Learner.pdf	100.5 KB
02 - Mixed Memory Markov Models Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones.pdf	64.7 KB
03 - Efficient Read-Restricted Monotone CNF-DNF Dualization by Learning with Membership Queries.pdf	110.8 KB
/Volume 37/#2/
00 - Projection Learning.pdf	88.5 KB
01 - On the Sample Complexity for Nonoverlapping Neural Networks.pdf	61.8 KB
02 - Effective and Efficient Knowledge Base Refinement.pdf	284.0 KB
03 - An Introduction to Variational Methods for Graphical Models.pdf	529.2 KB
/Volume 37/#3/
00 - Guest Editors' Introduction.pdf	14.6 KB
01 - Learning Function-Free Horn Expressions.pdf	167.9 KB
02 - Large Margin Classification Using the Perceptron Algorithm.pdf	156.2 KB
03 - Improved Boosting Algorithms Using Confidence-rated Predictions.pdf	233.7 KB
04 - The Complexity of Learning According to Two Models of a Drifting Environment.pdf	109.2 KB
05 - Some PAC-Bayesian Theorems.pdf	46.5 KB
/Volume 38/#1-2/
00 - Guest Editors' Introduction.pdf	17.4 KB
01 - Evolutionary Processes Guided by Machine Learning.pdf	587.9 KB
02 - Resource-bounded Relational Reasoning Induction and Deduction Through Stochastic Matching.pdf	99.4 KB
03 - Strategies in Combined Learning via Logic Programs.pdf	135.4 KB
04 - Feature Selection vs Theory Reformulation A Study of Genetic Refinement of Knowledge-based Neural Networks.pdf	190.1 KB
05 - Refining Numerical Constants in First Order Logic Theories.pdf	145.3 KB
06 - Multistrategy Theory Revision Induction and Abduction in INTHELEX.pdf	136.4 KB
07 - Multistrategy Discovery and Detection of Novice Programmer Errors.pdf	136.3 KB
08 - Multi Level Knowledge in Modeling Qualitative Physics Learning.pdf	236.8 KB
09 - A Multistrategy Approach to Classifier Learning from Time Series.pdf	388.8 KB
/Volume 38/#3/
00 - Improved Generalization Through Explicit Optimization of Margins.pdf	105.1 KB
01 - Reduction Techniques for Instance-Based Learning Algorithms.pdf	245.0 KB
02 - Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms.pdf	118.6 KB
03 - Multiple Comparisons in Induction Algorithms.pdf	244.0 KB
/Volume 39/#1/
00 - Nonparametric Time Series Prediction Through Adaptive Model Selection.pdf	160.6 KB
01 - On-line Learning and the Metrical Task System Problem.pdf	109.6 KB
02 - A Machine Learning Approach to POS Tagging.pdf	232.4 KB
/Volume 39/#2-3/
00 - Special Issue of Machine Learning on Information Retrieval Introduction.pdf	17.2 KB
01 - Text Classification from Labeled and Unlabeled Documents using EM.pdf	169.0 KB
02 - BoosTexter A Boosting-based System for Text Categorization.pdf	358.4 KB
03 - Machine Learning for Information Extraction in Informal Domains.pdf	153.5 KB
04 - Adaptive Retrieval Agents Internalizing Local Context and Scaling up to the Web.pdf	437.9 KB
/Volume 40/#1/
00 - Implementation Issues in the Fourier Transform Algorithm.pdf	351.2 KB
01 - Constructing X-of-N Attributes for Decision Tree Learning.pdf	444.1 KB
02 - Upper and Lower Bounds on the Learning Curve for Gaussian Processes.pdf	149.7 KB
/Volume 40/#2/
00 - Stochastic Grammatical Inference of Text Database Structure.pdf	197.6 KB
01 - An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees Bagging, Boosting, and Randomization.pdf	331.8 KB
02 - MultiBoosting A Technique for Combining Boosting and Wagging.pdf	128.3 KB
/Volume 40/#3/
00 - A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms.pdf	164.2 KB
01 - Randomizing Outputs to Increase Prediction Accuracy.pdf	54.6 KB
02 - Learning to Play Chess Using Temporal Differences.pdf	120.3 KB
03 - A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions.pdf	347.0 KB
/Volume 41/#1/
00 - Technical Note Naive Bayes for Regression.pdf	89.0 KB
01 - Selecting Examples for Partial Memory Learning.pdf	348.2 KB
02 - Lazy Learning of Bayesian Rules.pdf	481.0 KB
03 - A Cognitive Bias Approach to Feature Selection and Weighting for Case-Based Learners.pdf	111.5 KB
/Volume 41/#2/
00 - Maximizing Theory Accuracy Through Selective Reinterpretation.pdf	212.0 KB
01 - Learning Changing Concepts by Exploiting the Structure of Change.pdf	115.4 KB
02 - A Formalism for Relevance and Its Application in Feature Subset Selection.pdf	95.5 KB
03 - Adaptive Versus Nonadaptive Attribute-Efficient Learning.pdf	100.4 KB
04 - Phase Transitions in Relational Learning.pdf	244.5 KB
/Volume 41/#3/
00 - Bottom-Up Induction of Feature Terms.pdf	706.4 KB
01 - Enlarging the Margins in Perceptron Decision Trees.pdf	150.9 KB
02 - Cascade Generalization.pdf	274.0 KB
03 - Markov Processes on Curves.pdf	111.8 KB
/Volume 42/#1-2/
00 - Introduction.pdf	17.0 KB
01 - An Experimental Comparison of Model-Based Clustering Methods.pdf	92.9 KB
02 - SPADE An Efficient Algorithm for Mining Frequent Sequences.pdf	515.9 KB
03 - Confirmation-Guided Discovery of First-Order Rules with Tertius.pdf	144.3 KB
04 - Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks.pdf	146.2 KB
05 - Linear Concepts and Hidden Variables.pdf	119.7 KB
06 - Concept Decompositions for Large Sparse Text Data Using Clustering.pdf	211.1 KB
07 - Unsupervised Learning by Probabilistic Latent Semantic Analysis.pdf	178.6 KB
/Volume 42/#3/
00 - Robust Classification for Imprecise Environments.pdf	231.4 KB
01 - A Learning Generalization Bound with an Application to Sparse-Representation Classifiers.pdf	47.2 KB
02 - On the Convergence of Temporal-Difference Learning with Linear Function Approximation.pdf	131.7 KB
03 - The Effect of Instance-Space Partition on Significance.pdf	136.9 KB
04 - Soft Margins for AdaBoost.pdf	240.6 KB
05 - Errata.pdf	9.3 KB
/Volume 43/#1-2/
00 - Guest Editorial.pdf	13.9 KB
01 - Relational Reinforcement Learning.pdf	341.8 KB
02 - Relational Instance-Based Learning with Lists and Terms.pdf	158.9 KB
03 - The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures.pdf	104.8 KB
04 - Relational Learning with Statistical Predicate Invention Better Models for Hypertext.pdf	129.4 KB
05 - Unsupervised Learning of Word Segmentation Rules with Genetic Algorithms and Inductive Logic Programming.pdf	257.0 KB
/Volume 43/#3/
00 - Guest Editor's Introduction.pdf	12.9 KB
01 - General Convergence Results for Linear Discriminant Updates.pdf	202.0 KB
02 - Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions.pdf	180.4 KB
03 - Worst-Case Bounds for the Logarithmic Loss of Predictors.pdf	96.5 KB
04 - Drifting Games.pdf	129.5 KB
05 - An Adaptive Version of the Boost by Majority Algorithm.pdf	131.5 KB
/Volume 44/#1-2/
00 - Introduction.pdf	16.0 KB
01 - Learning DFA from Simple Examples.pdf	157.4 KB
02 - Learning Regular Languages from Simple Positive Examples.pdf	140.1 KB
03 - Stochastic Finite Learning of the Pattern Languages.pdf	129.8 KB
04 - Efficient Algorithms for the Inference of Minimum Size DFAs.pdf	165.8 KB
05 - Some Statistical-Estimation Methods for Stochastic Finite-State Transducers.pdf	98.4 KB
06 - Language Simplification through Error-Correcting and Grammatical Inference Techniques.pdf	150.1 KB
07 - Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference.pdf	186.5 KB
08 - Stochastic Inference of Regular Tree Languages.pdf	85.1 KB
/Volume 44/#3/
00 - Editorial Inductive Logic Programming is Coming of Age.pdf	18.2 KB
01 - On Exact Learning of Unordered Tree Patterns.pdf	193.3 KB
02 - Parameter Estimation in Stochastic Logic Programs.pdf	163.3 KB
03 - Approximate Match of Rules Using Backpropagation Neural Networks.pdf	114.6 KB
04 - Extracting Context-Sensitive Models in Inductive Logic Programming.pdf	203.7 KB
/Volume 45/#1/
00 - Random Forests.pdf	181.1 KB
01 - On the VC Dimension of Bounded Margin Classifiers.pdf	68.2 KB
02 - Iterated Phantom Induction A Knowledge-Based Approach to Learning Control.pdf	178.8 KB
03 - Optimizing Epochal Evolutionary Search Population-Size Dependent Theory.pdf	322.4 KB
04 - Optimizing Epochal Evolutionary Search Population-Size Dependent Theory.pdf	322.4 KB
/Volume 45/#2/
00 - Learning with Maximum-Entropy Distributions.pdf	145.5 KB
01 - Robust Learning with Missing Data.pdf	157.0 KB
02 - A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems.pdf	96.5 KB
03 - Predicting the Future of Discrete Sequences from Fractal Representations of the Past.pdf	754.6 KB
04 - Reinterpreting the Category Utility Function.pdf	62.2 KB
/Volume 45/#3/
00 - Efficient Construction of Regression Trees with Range and Region Splitting.pdf	201.6 KB
01 - Using Iterated Bagging to Debias Regressions.pdf	69.2 KB
02 - Accelerating EM for Large Databases.pdf	311.2 KB
03 - Relative Loss Bounds for Multidimensional Regression Problems.pdf	176.1 KB
/Volume 46/#1-3/
00 - Editorial Kernel Methods Current Research and Future Directions.pdf	29.1 KB
01 - On a Connection between Kernel PCA and Metric Multidimensional Scaling.pdf	59.9 KB
02 - Bayesian Methods for Support Vector Machines Evidence and Predictive Class Probabilities.pdf	707.8 KB
03 - Hierarchical Learning in Polynomial Support Vector Machines.pdf	121.1 KB
04 - A Probabilistic Framework for SVM Regression and Error Bar Estimation.pdf	112.5 KB
05 - On the Dual Formulation of Regularized Linear Systems with Convex Risks.pdf	208.7 KB
06 - Choosing Multiple Parameters for Support Vector Machines.pdf	238.9 KB
07 - Training Invariant Support Vector Machines.pdf	586.0 KB
08 - Support Vector Machines for Classification in Nonstandard Situations.pdf	72.7 KB
09 - An Analytic Center Machine.pdf	183.8 KB
10 - Linear Programming Boosting via Column Generation.pdf	310.6 KB
11 - Large Scale Kernel Regression via Linear Programming.pdf	117.6 KB
12 - Efficient SVM Regression Training with SMO.pdf	111.5 KB
13 - A Simple Decomposition Method for Support Vector Machines.pdf	145.5 KB
14 - Feasible Direction Decomposition Algorithms for Training Support Vector Machines.pdf	215.4 KB
15 - Convergence of a Generalized SMO Algorithm for SVM Classifier Design.pdf	66.9 KB
15 - The Relaxed Online Maximum Margin Algorithm.pdf	144.9 KB
16 - Gene Selection for Cancer Classification using Support Vector Machines.pdf	559.5 KB
17 - Text Categorization with Support Vector Machines. How to Represent Texts in Input Space.pdf	314.1 KB
/Volume 47/#1/
00 - Editorial.pdf	15.3 KB
01 - Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data.pdf	204.9 KB
02 - A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles.pdf	350.1 KB
03 - Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction.pdf	166.8 KB
04 - Bayesian Clustering by Dynamics.pdf	205.8 KB
/Volume 47/#2-3/
00 - Guest Editor's Introduction.pdf	14.3 KB
01 - PAC Analogues of Perceptron and Winnow Via Boosting the Margin.pdf	125.0 KB
02 - Boosting Methods for Regression.pdf	306.3 KB
03 - On the Learnability and Design of Output Codes for Multiclass Problems.pdf	185.1 KB
04 - Finite-time Analysis of the Multiarmed Bandit Problem.pdf	164.5 KB
05 - Theory Revision with Queries DNF Formulas.pdf	205.0 KB
/Volume 48/#1-3/
00 - Guest Introduction Special Issue on New Methods for Model Selection and Model Combination.pdf	17.8 KB
01 - Model Selection for Small Sample Regression.pdf	428.1 KB
02 - Theoretical and Experimental Evaluation of the Subspace Information Criterion.pdf	1.2 MB
03 - Metric-Based Methods for Adaptive Model Selection and Regularization.pdf	171.3 KB
04 - Model Selection and Error Estimation.pdf	221.7 KB
05 - Statistical Properties and Adaptive Tuning of Support Vector Machines.pdf	146.1 KB
06 - Structural Modelling with Sparse Kernels.pdf	368.2 KB
07 - Kernel Matching Pursuit.pdf	274.2 KB
08 - Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces.pdf	163.6 KB
09 - On the Existence of Linear Weak Learners and Applications to Boosting.pdf	189.2 KB
10 - Logistic Regression, AdaBoost and Bregman Distances.pdf	197.4 KB
11 - Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates.pdf	52.9 KB
12 - Bayesian Treed Models.pdf	187.3 KB
13 - Decision Region Connectivity Analysis A Method for Analyzing High-Dimensional Classifiers.pdf	794.6 KB
/Volume 49/#1/
00 - The Lagging Anchor Algorithm Reinforcement Learning in Two-Player Zero-Sum Games with Imperfect Information.pdf	183.1 KB
01 - A Simple Method for Generating Additive Clustering Models with Limited Complexity.pdf	106.9 KB
02 - Feature Generation Using General Constructor Functions.pdf	223.9 KB
/Volume 49/#2-3/
00 - Introduction.pdf	21.0 KB
01 - Reinforcement Learning for Call Admission Control and Routing under Quality of Service Constraints in Multimedia Networks.pdf	457.2 KB
02 - Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts.pdf	245.9 KB
03 - Kernel-Based Reinforcement Learning.pdf	109.4 KB
04 - On Average Versus Discounted Reward Temporal-Difference Learning.pdf	69.7 KB
05 - A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes.pdf	104.2 KB
06 - Near-Optimal Reinforcement Learning in Polynomial Time.pdf	118.9 KB
07 - Technical Update Least-Squares Temporal Difference Learning.pdf	136.3 KB
08 - Continuous-Action Q-Learning.pdf	234.8 KB
09 - Risk-Sensitive Reinforcement Learning.pdf	124.5 KB
10 - Variable Resolution Discretization in Optimal Control.pdf	953.9 KB
11 - Structure in the Space of Value Functions.pdf	665.7 KB
/Volume 50/#1-2/
00 - An Introduction to MCMC for Machine Learning.pdf	424.2 KB
01 - EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence.pdf	463.5 KB
02 - Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation.pdf	136.5 KB
03 - Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks.pdf	1.8 MB
04 - Improving Markov Chain Monte Carlo Model Search for Data Mining.pdf	311.0 KB
05 - Classification with Bayesian MARS.pdf	107.1 KB
06 - Population Markov Chain Monte Carlo.pdf	305.9 KB
07 - A Noninformative Prior for Neural Networks.pdf	85.6 KB
/Volume 50/#3/
00 - Introduction.pdf	22.1 KB
01 - Combining Classifiers with Meta Decision Trees.pdf	152.9 KB
02 - Ranking Learning Algorithms Using IBL and Meta-Learning on Accuracy and Time Results.pdf	117.0 KB
03 - Learning to Match the Schemas of Data Sources A Multistrategy Approach.pdf	554.4 KB
04 - Clustered Partial Linear Regression.pdf	142.7 KB
05 - Complete Mining of Frequent Patterns from Graphs Mining Graph Data.pdf	653.3 KB
/Volume 51/#1/
00 - PAC-Bayesian Stochastic Model Selection.pdf	89.4 KB
01 - Relative Loss Bounds for Temporal-Difference Learning.pdf	154.6 KB
02 - Polynomial-Time Decomposition Algorithms for Support Vector Machines.pdf	107.8 KB
03 - An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection.pdf	251.0 KB
/Volume 51/#2/
00 - Variance and Bias for General Loss Functions.pdf	89.6 KB
01 - Learning from Different Teachers.pdf	133.1 KB
02 - Microchoice Bounds and Self Bounding Learning Algorithms.pdf	81.4 KB
03 - Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy.pdf	455.7 KB
/Volume 51/#3/
00 - Guest Editor's Introduction.pdf	16.7 KB
01 - Boosting and Hard-Core Set Construction.pdf	143.6 KB
02 - Potential-Based Algorithms in On-Line Prediction and Game Theory.pdf	130.8 KB
03 - Estimating the Optimal Margins of Embeddings in Euclidean Half Spaces.pdf	106.8 KB
04 - A Theoretical Analysis of Query Selection for Collaborative Filtering.pdf	128.0 KB
/Volume 52/#1-2/
00 - Editorial Methods in Functional Genomics.pdf	27.1 KB
01 - Relation Between Permutation-Test P Values and Classifier Error Estimates.pdf	151.2 KB
02 - Boosting and Microarray Data.pdf	67.1 KB
03 - Analysis and Visualization of Gene Expression Microarray Data in Human Cancer Using Self-Organizing Maps.pdf	1.0 MB
04 - Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling.pdf	414.1 KB
05 - Consensus Clustering A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data.pdf	865.5 KB
06 - Inclusion of Textual Documentation in the Analysis of Multidimensional Data Sets Application to Gene Expression Data.pdf	171.9 KB
07 - On Learning Gene Regulatory Networks Under the Boolean Network Model.pdf	125.3 KB
08 - External Control in Markovian Genetic Regulatory Networks.pdf	107.7 KB
/Volume 52/#3/
00 - Tree Induction for Probability-Based Ranking.pdf	109.3 KB
01 - Feature Weighting in k-Means Clustering.pdf	122.1 KB
02 - Inference for the Generalization Error.pdf	465.4 KB
/Volume 53/#1-2/
00 - A Microchoice Bound for Continuous-Space Classification Algorithms.pdf	89.0 KB
01 - Theoretical and Empirical Analysis of ReliefF and RReliefF.pdf	414.5 KB
02 - Online Ensemble Learning An Empirical Study.pdf	1.4 MB
03 - Programming by Demonstration Using Version Space Algebra.pdf	455.3 KB
04 - Improved Rooftop Detection in Aerial Images with Machine Learning.pdf	218.8 KB
/Volume 53/#3/
00 - Learning from Cluster Examples.pdf	291.3 KB
01 - Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers.pdf	167.1 KB
02 - The Robustness of the p-Norm Algorithms.pdf	207.1 KB
/Volume 54/#1/
00 - Benchmarking Least Squares Support Vector Machine Classifiers.pdf	230.8 KB
01 - Projection Support Vector Machine Generators.pdf	62.9 KB
02 - Support Vector Data Description.pdf	281.6 KB
03 - A Hybrid Classification Model.pdf	337.9 KB
/Volume 54/#2/
00 - DeEPs A New Instance-Based Lazy Discovery and Classification System.pdf	119.4 KB
01 - Selective Sampling for Nearest Neighbor Classifiers.pdf	212.2 KB
02 - Active Sampling for Class Probability Estimation and Ranking.pdf	161.7 KB
/Volume 54/#3/
00 - Introduction to the Special Issue on Meta-Learning.pdf	32.9 KB
01 - A Meta-Learning Method to Select the Kernel Width in Support Vector Regression.pdf	90.6 KB
02 - Optimal Ordered Problem Solver.pdf	282.2 KB
03 - Is Combining Classifiers with Stacking Better than Selecting the Best One.pdf	78.8 KB
04 - On Data and Algorithms Understanding Inductive Performance.pdf	525.4 KB
/Volume 55/#1/
00 - A Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward.pdf	172.8 KB
01 - Classification Using F-Machines and Constructive Function Approximation.pdf	107.0 KB
02 - Khiops A Statistical Discretization Method of Continuous Attributes.pdf	82.1 KB
03 - Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers.pdf	158.8 KB
/Volume 55/#2/
00 - Guest Editors’ Introduction.pdf	15.1 KB
01 - Induction as Consequence Finding.pdf	123.6 KB
02 - Fast Theta-Subsumption with Constraint Satisfaction Algorithms.pdf	457.9 KB
03 - Inducing Multi-Level Association Rules from Multiple Relations.pdf	217.0 KB
/Volume 55/#3/
00 - Functional Trees.pdf	301.5 KB
01 - Bagging Equalizes Influence.pdf	165.8 KB
02 - How to Better Use Expert Advice.pdf	270.4 KB
03 - Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering.pdf	155.3 KB
/Volume 56/#1-3/
00 - Introduction Special Issue on Theoretical Advances in Data Clustering.pdf	21.0 KB
01 - Clustering Large Graphs via the Singular Value Decomposition.pdf	140.4 KB
02 - Optimal Time Bounds for Approximate Clustering.pdf	152.6 KB
03 - A k-Median Algorithm with Running Time Independent of Data Size.pdf	173.2 KB
04 - Correlation Clustering.pdf	168.5 KB
05 - A New Conceptual Clustering Framework.pdf	249.5 KB
06 - Subquadratic Approximation Algorithms for Clustering Problems in High Dimensional Spaces.pdf	97.6 KB
07 - Central Clustering of Attributed Graphs.pdf	447.7 KB
08 - Semi-Supervised Learning on Riemannian Manifolds.pdf	179.9 KB
/Volume 57/#1-2/
00 - Decision Support Through Subgroup Discovery Three Case Studies and the Lessons Learned.pdf	121.6 KB
01 - Editorial Data Mining Lessons Learned.pdf	36.8 KB
02 - Introduction Lessons Learned from Data Mining Applications and Collaborative Problem Solving.pdf	91.7 KB
03 - Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation.pdf	1.5 MB
04 - Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics.pdf	201.1 KB
05 - Lessons and Challenges from Mining Retail E-Commerce Data.pdf	565.9 KB
06 - Learning to Decode Cognitive States from Brain Images.pdf	347.9 KB
07 - A Bias-Variance Analysis of a Real World Learning Problem The CoIL Challenge 2000.pdf	314.7 KB
/Volume 57/#3/
00 - Guest Editorial.pdf	17.5 KB
01 - Kernels and Distances for Structured Data.pdf	189.8 KB
02 - Naive Bayesian Classification of Structured Data.pdf	207.1 KB
03 - Integrating Guidance into Relational Reinforcement Learning.pdf	289.2 KB
04 - Compact Representation of Knowledge Bases in Inductive Logic Programming.pdf	350.9 KB
/Volume 58/#1/
00 - Not So Naive Bayes Aggregating One-Dependence Estimators.pdf	100.7 KB
01 - On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions.pdf	51.2 KB
02 - A Response to Webb and Ting’s On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions.pdf	38.5 KB
03 - ROC ‘n’ Rule Learning—Towards a Better Understanding of Covering Algorithms.pdf	322.9 KB
04 - Case Based Imprecision Estimates for Bayes Classifiers with the Bayesian Bootstrap.pdf	97.5 KB
/Volume 58/#2-3/
00 - Guest Editorial.pdf	44.5 KB
01 - Evolutionary Rule Mining in Time Series Databases.pdf	831.9 KB
02 - Automatic Feature Extraction for Classifying Audio Data.pdf	546.6 KB
03 - Clustering Time Series with Clipped Data.pdf	461.5 KB
04 - Classification of Multivariate Time Series and Structured Data Using Constructive Induction.pdf	2.6 MB
05 - Principle Components and Importance Ranking of Distributed Anomalies.pdf	237.8 KB
06 - Fast and Exact Warping of Time Series Using Adaptive Segmental Approximations.pdf	4.2 MB
07 - Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle.pdf	1.3 MB
08 - Elastic Translation Invariant Matching of Trajectories.pdf	1.7 MB
/Volume 59/#1-2/
00 - Evolving Soccer Keepaway Players Through Task Decomposition.pdf	154.8 KB
01 - A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game.pdf	456.1 KB
02 - PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification.pdf	124.6 KB
03 - Multicategory Proximal Support Vector Machine Classifiers.pdf	418.0 KB
04 - Maximizing Agreements with One-Sided Error with Applications to Heuristic Learning.pdf	218.7 KB
05 - Internal Regret in On-Line Portfolio Selection.pdf	165.5 KB
06 - Logistic Model Trees.pdf	306.9 KB
/Volume 59/#3/
00 - Editorial.pdf	13.9 KB
01 - Learning Bayesian Network Classifiers Searching in a Space of Partially Directed Acyclic Graphs.pdf	122.6 KB
02 - Latent Classification Models.pdf	189.5 KB
03 - On Discriminative Bayesian Network Classifiers and Logistic Regression.pdf	255.9 KB
04 - Structural Extension to Logistic Regression Discriminative Parameter Learning of Belief Net Classifiers.pdf	401.6 KB
05 - TAN Classifiers Based on Decomposable Distributions.pdf	257.6 KB
/Volume 60/#1-3/
00 - Guest Editors Introduction Machine Learning in Speech and Language Technologies.pdf	31.6 KB
01 - Support Vector Learning for Semantic Argument Classification.pdf	146.3 KB
02 - Filtering-Ranking Perceptron Learning for Partial Parsing.pdf	194.1 KB
03 - Ranking and Reranking with Perceptron.pdf	131.7 KB
04 - Online Multiclass Learning with k-Way Limited Feedback and an Application to Utterance Classification.pdf	121.0 KB
05 - Moment Kernels for Regular Distributions.pdf	119.4 KB
06 - Maximum Entropy Modeling A Suitable Framework to Learn Context-Dependent Lexicon Models for Statistical Machine Translation.pdf	132.5 KB
07 - Maximum Entropy Models with Inequality Constraints A Case Study on Text Categorization.pdf	247.6 KB
08 - A Neural Syntactic Language Model.pdf	211.7 KB
09 - Combining Statistical Language Models via the Latent Maximum Entropy Principle.pdf	142.0 KB
10 - Corpus-based Learning of Analogies and Semantic Relations.pdf	212.2 KB
/Volume 61/#1-3/
00 - Incremental Learning of Linear Model Trees.pdf	1.0 MB
01 - Single-Class Classification with Mapping Convergence.pdf	1.1 MB
02 - The Synergy Between PAV and AdaBoost.pdf	628.7 KB
03 - A High Order Cumulants Based Multivariate Nonlinear Blind Source Separation Method.pdf	1.2 MB
04 - Combined SVM-Based Feature Selection and Classification.pdf	309.7 KB
05 - A Fast Dual Algorithm for Kernel Logistic Regression.pdf	136.7 KB
06 - Generalized Low Rank Approximations of Matrices.pdf	613.8 KB
/Volume 62/#1-2/
00 - Introduction to the special issue on multi-relational data mining and statistical relational learning.pdf	43.1 KB
01 - PRL A probabilistic relational language.pdf	568.7 KB
02 - Propositionalization-based relational subgroup discovery with RSD.pdf	2.2 MB
03 - Distribution-based aggregation for relational learning with identifier attributes.pdf	1.8 MB
04 - Markov logic networks.pdf	1.3 MB
05 - XRules An effective algorithm for structural classification of XML data.pdf	2.1 MB
/Volume 62/#3/
00 - On Mining Summaries by Objective Measures of Interestingness.pdf	494.3 KB
01 - A Unified View on Clustering Binary Data.pdf	204.0 KB
02 - Additive Regularization Trade-Off Fusion of Training and Validation Levels in Kernel Methods.pdf	1.5 MB
/Volume 63/#1/
00 - Extremely randomized trees.pdf	2.6 MB
01 - Data-guided model combination by decomposition and aggregation.pdf	1.4 MB
02 - Model-based transductive learning of the kernel matrix.pdf	790.8 KB
/Volume 63/#2/
00 - Asymptotic analysis of temporal-difference learning algorithms with constant step-sizes.pdf	169.1 KB
01 - Classification using Hierarchical Naïve Bayes models.pdf	199.9 KB
02 - An algorithmic theory of learning Robust concepts and random projection.pdf	156.1 KB
03 - Classification-based objective functions.pdf	879.0 KB
04 - Erratum.pdf	28.3 KB
/Volume 63/#3/
00 - Machine learning and games.pdf	94.2 KB
01 - Adaptive game AI with dynamic scripting.pdf	555.0 KB
02 - Universal parameter optimisation in games based on SPSA.pdf	320.8 KB
03 - Learning to bid in bridge.pdf	2.3 MB
04 - Learning long-term chess strategies from databases.pdf	154.7 KB
/Volume 64/#1-3/
00 - Foreword.pdf	81.0 KB
01 - Relational IBL in classical music.pdf	246.8 KB
02 - Mathematical applications of inductive logic programming.pdf	307.6 KB
03 - Quantitative pharmacophore models with inductive logic programming.pdf	239.1 KB
04 - Graph kernels and Gaussian processes for relational reinforcement learning.pdf	329.1 KB
05 - Complexity parameters for first order classes.pdf	249.6 KB
06 - Guest editorial.pdf	84.9 KB
07 - First order random forests Learning relational classifiers with complex aggregates.pdf	301.7 KB
08 - Randomised restarted search in ILP.pdf	911.6 KB
09 - Application of abductive ILP to learning metabolic network inhibition from temporal data.pdf	426.7 KB
10 - Gleaner Creating ensembles of first-order clauses to improve recall-precision curves.pdf	359.6 KB
11 - Learning goal hierarchies from structured observations and expert annotations.pdf	297.0 KB
/Volume 65/#1/
00 - Semi-supervised model-based document clustering A comparative study.pdf	347.6 KB
01 - The max-min hill-climbing Bayesian network structure learning algorithm.pdf	604.8 KB
02 - Kernels as features On kernels, margins, and low-dimensional mappings.pdf	187.7 KB
03 - Cost curves An improved method for visualizing classifier performance.pdf	476.9 KB
04 - MODL A Bayes optimal discretization method for continuous attributes.pdf	605.9 KB
05 - Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming.pdf	579.0 KB
06 - Learning decomposable markov networks in pseudo-independent domains with local evaluation.pdf	309.6 KB
07 - An efficient top-down search algorithm for learning Boolean networks of gene expression.pdf	193.5 KB
08 - An analysis of diversity measures.pdf	393.9 KB
09 - Training a reciprocal-sigmoid classifier by feature scaling-space.pdf	570.1 KB
10 - A suffix tree approach to anti-spam email filtering.pdf	294.5 KB
/Volume 65/#2-3/
00 - Guest editorial Machine learning in and for music.pdf	82.4 KB
01 - Guest Editorial Machine learning in and for music.pdf	58.9 KB
02 - Melodic analysis with segment classes.pdf	149.0 KB
03 - Modeling, analyzing, and synthesizing expressive piano performance with graphical models.pdf	372.0 KB
04 - Aligning music audio with symbolic scores using a hybrid graphical model.pdf	304.4 KB
05 - A case based approach to expressivity-aware tempo transformation.pdf	300.2 KB
06 - Classification-based melody transcription.pdf	386.7 KB
07 - Bootstrap learning for accurate onset detection.pdf	242.8 KB
08 - Aggregate features and ADA BOOST for music classification.pdf	216.0 KB
09 - Using duration models to reduce fragmentation in audio segmentation.pdf	755.6 KB
/Volume 66/#1/
00 - Guest editorial to the special issue on grammatical inference.pdf	101.3 KB
01 - LARS A learning algorithm for rewriting systems.pdf	345.8 KB
02 - Interactive learning of node selecting tree transducer.pdf	642.8 KB
03 - Learning finite-state models for machine translation.pdf	264.5 KB
04 - Learning deterministic context free grammars The Omphalos competition.pdf	232.7 KB
/Volume 66/#2-3/
00 - Guest editorial Learning theory.pdf	89.7 KB
01 - Suboptimal behavior of Bayes and MDL in classification under misspecification.pdf	361.3 KB
02 - A new PAC bound for intersection-closed concept classes.pdf	223.1 KB
03 - Model selection by bootstrap penalization for classification.pdf	418.4 KB
04 - Optimal dyadic decision trees.pdf	497.7 KB
05 - A framework for statistical clustering with constant time approximation algorithms for K-median and K-means clustering.pdf	218.2 KB
06 - Statistical properties of kernel principal component analysis.pdf	392.1 KB
07 - Statistical properties of kernel principal component analysis.pdf	23.1 KB
08 - Feature space perspectives for learning the kernel.pdf	296.5 KB
09 - Improved second-order bounds for prediction with expert advice.pdf	367.9 KB
/Volume 67/#1-2/
00 - Introduction to the special issue on learning and computational game theory.pdf	2.5 MB
01 - Slow emergence of cooperation for win-stay lose-shift on trees.pdf	2.8 MB
02 - AWESOME A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents.pdf	2.7 MB
03 - A general criterion and an algorithmic framework for learning in multi-agent systems.pdf	809.4 KB
04 - Online calibrated forecasts Memory efficiency versus universality for learning in games.pdf	3.2 MB
05 - Bidding agents for online auctions with hidden bids.pdf	2.8 MB
06 - Learning payoff functions in infinite games.pdf	2.8 MB
/Volume 67/#3/
00 - Density estimation with stagewise optimization of the empirical risk.pdf	342.2 KB
01 - Stability of Unstable Learning Algorithms.pdf	278.9 KB
02 - Multi-Class Learning by Smoothed Boosting.pdf	352.6 KB
/Volume 68/#1/
00 - Discovering Significant Patterns.pdf	815.3 KB
01 - Invariant kernel functions for pattern analysis and machine learning.pdf	736.7 KB
02 - Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories.pdf	1.1 MB
03 - PAV and the ROC convex hull.pdf	217.2 KB
/Volume 70/#1/
article1.pdf	611.2 KB
article2.pdf	534.0 KB
article3.pdf	794.7 KB
article4.pdf	681.3 KB
/Volume 72/#3/
article1.pdf	109.8 KB
article2.pdf	457.6 KB
article3.pdf	680.6 KB
article4.pdf	673.7 KB
article5.pdf	633.6 KB
article6.pdf	415.3 KB
article7.pdf	480.3 KB
article8.pdf	359.6 KB
Total files 890