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Machinelearning

Volume 53 01 Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers pdf

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machinelearning

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/Volume 53/#3/01 - Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers.pdf

167.1 KB

/Volume 55/#1/03 - Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers.pdf

158.8 KB

/Volume 59/#3/04 - Structural Extension to Logistic Regression Discriminative Parameter Learning of Belief Net Classifiers.pdf

401.6 KB

/Volume 42/#3/01 - A Learning Generalization Bound with an Application to Sparse-Representation Classifiers.pdf

47.2 KB

/Volume 45/#1/01 - On the VC Dimension of Bounded Margin Classifiers.pdf

68.2 KB

/Volume 55/#1/02 - Khiops A Statistical Discretization Method of Continuous Attributes.pdf

82.1 KB

/Volume 16/#1-2/05 - Simulating the Child's Acquisition of the Lexicon and Syntax - Experiences With Babel.pdf

1.8 MB

/Volume 30/#2-3/03 - Machine Learning for the Detection of Oil Spills in Satellite Radar Images.pdf

717.0 KB

/Volume 54/#2/01 - Selective Sampling for Nearest Neighbor Classifiers.pdf

212.2 KB

/Volume 55/#3/03 - Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering.pdf

155.3 KB

/Volume 68/#1/01 - Invariant kernel functions for pattern analysis and machine learning.pdf

736.7 KB

/Volume 10/#2/00 - Information filtering. Selection mechanisms in learning systems.pdf

1.9 MB

/Volume 19/#3/02 - On the Stochastic Complexity of Learning Realizable and Unrealizable Rules.pdf

961.6 KB

/Volume 51/#3/03 - Estimating the Optimal Margins of Embeddings in Euclidean Half Spaces.pdf

106.8 KB

/Volume 53/#1-2/00 - A Microchoice Bound for Continuous-Space Classification Algorithms.pdf

89.0 KB

 

Showing first 15 files of 890 total files


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