FileMood

Download Atrificial Intelligence Books

Atrificial Intelligence Books

Name

Atrificial Intelligence Books

 DOWNLOAD Copy Link

Total Size

3.0 GB

Total Files

216

Hash

CA696531EA671BC72F4872CB4A2971892EC66EB7

/

FUZZY SETS AND FUZZY LOGIC Theory and Applications - GEORGE J. KLIR , BO YUAN.pdf

125.2 MB

Computer Vision 2d ed - Dand h Ballard.pdf

110.2 MB

Multiple View Geometry in Computer Vision 2ed - Hartley R., Zisserman A.pdf

104.0 MB

Handbook Of Mathematical Models In Computer Vision - Nikos Paragios.pdf

101.8 MB

introduction to linear algebra (4th, 2009).pdf

94.3 MB

Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman.pdf

71.5 MB

probabilistic graphical models - principles and techniques (2009).pdf

69.4 MB

Artificial Intelligence, Structures And Strategies For Complex Problem Solving 3rd ed - George F Luger.pdf

61.8 MB

Computer Vision A Modern Approach - Forsyth , Ponce.pdf

52.7 MB

applied linear statistical models (5th, 2004).pdf

52.2 MB

calculus (spivak, 3rd, 1994).pdf

50.7 MB

introduction to evolutionary computing (2003).pdf

47.1 MB

all of statistics - a concise course in statistical inference (2010).pdf

47.1 MB

an introduction to probability theory and applications (vol2, 1971).pdf

44.1 MB

machine learning - an algorithmic perspective (2009).pdf

44.0 MB

Neural Networks - A Comprehensive Foundation - Simon Haykin.pdf

42.4 MB

Pattern recognition and image preprocessing 2nd ed -Sing T. Bow.pdf

39.0 MB

Machine Learning - Tom Mitchell.pdf

38.8 MB

machine learning (1997).pdf

38.8 MB

Artificial Intelligence A Modern Approach - Stuart J. Russell , Peter Norvig.pdf

38.0 MB

Computational Web Intelligence Intelligent Technology for Web Applications - Y.-Q. Zhang.pdf

36.9 MB

an introduction to probability theory and applications (vol1, 3rd, 1968).pdf

36.8 MB

calculus (strang, 1991).pdf

35.2 MB

PROLOG PROGRAMMING FOR ARTIFICIAL INTELLIGENCE - lvan Bratko.pdf

33.3 MB

The Handbook Of Brain Theory And Neural Networks 2Nd Ed - Michael A Arbib.pdf

33.1 MB

godel, escher, bach - an eternal golden braid (1999).pdf

32.8 MB

The handbook of applied expert systems - Jay Liebowitz.pdf

32.7 MB

statistical learning theory (1998).pdf

31.3 MB

Handbook of Computer Vision and Applications Volume 3 Systems and Applications - Bernd Jahne.pdf

31.2 MB

The Elements of Artificial Intelligence Using Lisp - Steven L. Tanimoto.pdf

28.3 MB

FLEXIBLE NEURO-FUZZY SYSTEMS Structures, Learning and Performance Evaluation - Leszek Rutkowski.pdf

28.1 MB

fundamentals of matrix computations (2nd, 2002).pdf

26.8 MB

Methods And Applications Of Artificial Intelligence - Themistoklis Panayiotopoulos.pdf

26.4 MB

Artificial Intelligence Today Recent Trends and Development - Manuela Veloso.pdf

25.9 MB

Static and Dynamic Neural Networks From Fundamentals to Advanced Theory - Madan M. Gupta, Liang Jin, Noriyasu Homma.pdf

25.0 MB

machine learning for hackers (2012).pdf

24.2 MB

Computer Vision and Applications A Guide for Students and Practitioners - Bernd Jahne.pdf

23.8 MB

The Art of Prolog 2nd Ed - Leon Sterling , Ehud Shapiro.pdf

23.3 MB

introduction to bayesian statistics (2nd, 2007).pdf

22.9 MB

answer book for calculus 3rd (spivak, 1994).pdf

22.6 MB

Artificial Intelligence Applications and Innovations - Bramer Max.pdf

22.0 MB

a course in probability theory (3rd, 2000).pdf

21.5 MB

Machine Learning, Neural And Statistical Classification - Michie , Spiegelhalter , Taylor.pdf

21.1 MB

Computer Vision - Linda Shapiro.pdf

20.5 MB

Methods and Procedures for the Verification and Validation of Artificial Neural Networks - Brian J. Taylor.pdf

20.3 MB

Advances in Artificial Intelligence – SBIA 2004 - Ana L.C. Bazzan , Sofiane Labidi.pdf

20.1 MB

speech and language processing (2nd, 2007).pdf

19.8 MB

Handbook of Computer Vision and Applications Volume 2 Signal Processing and Pattern Recognition - - Bernd Jahne.pdf

19.6 MB

Machine Learning And Its Applications - Georgios Paliouras.pdf

19.2 MB

universal artificial intelligence (2005).pdf

18.4 MB

introduction to probability (bertsekas, 2nd, 2008).pdf

18.2 MB

Computational Intelligence An Introduction - Andries P. Engelbrecht.pdf

17.8 MB

evolving connectionist systems - the knowledge engineering approach (2007).pdf

17.4 MB

Evolutionary Synthesis of Pattern Recognition Systems - Bir Bhanu.pdf

16.1 MB

the quest for AI - a history of ideas and achievements (2010).pdf

16.1 MB

probabilistic robotics (2005).pdf

15.7 MB

practical methods for optimization (2nd, 1987).pdf

15.7 MB

Handbook of Computer Vision and Applications Volume 1 Sensors and Imaging - Bernd Jahne.pdf

15.7 MB

bio-inspired artificial intelligence (2008).pdf

15.7 MB

artificial intelligence - a modern approach (3rd, 2009).pdf

15.6 MB

the art of artificial evolution - a handbook on evolutionary art and music (2007).pdf

15.5 MB

Intelligent Communication Systems - Nobuyoshi Terashima.pdf

15.4 MB

introduction to analysis (1985).pdf

14.8 MB

robust statistics (2nd, 2009).pdf

14.5 MB

bayesian reasoning and machine learning (2012).pdf

14.2 MB

introduction to linear optimization (1997).pdf

14.2 MB

pattern recognition (4th, 2008).pdf

13.9 MB

Advances in Applied Artificial Intelligence - John Fulcher.pdf

13.2 MB

data mining - concepts and techniques (3rd, 2011).pdf

13.1 MB

Introduction to Statistical Pattern Recognition 2nd Ed - Keinosuke Fukunaga.pdf

13.1 MB

Genetic Programming Theory and Practice II - John Koza.pdf

13.1 MB

elements of statistical learning (2008).pdf

12.9 MB

statistics - the exploration and analysis of data (7th, 2010).pdf

12.7 MB

Computational Intelligence in Manufacturing Handbook - Jun Wang.pdf

12.6 MB

Analysis And Applications Of Artificial Neural Networks - LPG Veelenturf.pdf

12.5 MB

modern multivariate statistical techniques - regression, classification and manifold learning (2008).pdf

12.3 MB

matrix computations (3rd, 1996).pdf

12.1 MB

Intelligent Control Systems Using Soft Computing Methodologies - Ali Zilouchian.pdf

12.0 MB

multivariate data analysis (7th, 2009).pdf

11.7 MB

a probabilistic theory of pattern recognition (1996).pdf

11.3 MB

The Handbook of Evolutionary Computation - Kenneth De Jong.pdf

11.1 MB

introduction to machine learning (smola, 2010).pdf

10.8 MB

Handbook of Computer Vision Algorithms in Image Algebra, 2nd Ed - Gerhard X. Ritter.pdf

10.8 MB

data analysis with open source tools (2010).pdf

10.7 MB

Neural Networks Algorithms, Applications,and Programming Techniques - James A. Freeman.pdf

10.6 MB

doing bayesian data analysis - a tutorial with R and BUGS (2010).pdf

10.4 MB

learning with kernels (2002).pdf

10.3 MB

Fuzzy Sets And Systems Theory And Applications - Didier Dubois , Henri Prade.pdf

10.0 MB

Swarm intelligence - James Kennedy.pdf

9.5 MB

swarm intelligence (2001).pdf

9.5 MB

Artificial Neural Networks in Real-life Applications - Juan R. Rabunal.pdf

9.2 MB

Artificial Intelligence and Soft Computing Behavioral and Cognitive Modeling of the Human Brain - Konar Amit.pdf

9.1 MB

Evolutionary Computation for Modeling and Optimization - Daniel Ashlock.pdf

8.7 MB

Intelligent Systems Fusion, Tracking, and Control - GeeWah Ng.pdf

8.4 MB

Data Mining Practical Machine Learning Tools and Techniques 2d ed - Morgan Kaufmann.pdf

8.1 MB

Genetic Programming An Introduction On the Automatic Evolution of Computer Programs and its Applications - Morgan Kaufmann.pdf

7.6 MB

information theory, inference and learning algorithms (2003).pdf

7.4 MB

Vision with Direction A Systematic Introduction to Image Processing and Computer Vision - Josef Bigun.pdf

7.3 MB

data mining - practical machine learning tools and techniques (2011).pdf

7.3 MB

an introduction to information retrieval (2009).pdf

6.9 MB

Fusion Of Neural Networks, Fuzzy Systems And Genetic Algorithms - Lakhmi C. Jain , N.M. Martin.pdf

6.9 MB

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms Industrial Applications - Lakhmi C. Jain , N.M. Martin.pdf

6.9 MB

Machine Learning in Computer Vision - N. SEBE.pdf

6.8 MB

Foundations of Statistical Natural Language Processing - Christopher D. Manning.pdf

6.8 MB

Building Machine Learning Systems with Python - Second Edition.pdf

6.8 MB

foundations of statistical language processing (1999).pdf

6.6 MB

convex optimization (2004).pdf

6.6 MB

Computer Modeling and Simulation Techniques for Computer Vision Problems - Ming-Chin Lu.pdf

6.4 MB

Kalman Filtering and Neural Networks - Simon Haykin.pdf

6.2 MB

neural networks for applied sciences and engineering (2006).pdf

6.1 MB

the algorithm design manual (2nd, 2008).pdf

6.1 MB

probability theory - the logic of science (2003).pdf

6.1 MB

Fuzzy Sets And Fuzzy Information Granulation Theory - lotfi Zadeh.pdf

6.1 MB

artificial general intelligence (2007).pdf

6.0 MB

Computational Intelligence In Control - Masoud Mohammadian.pdf

6.0 MB

FRONTIERS OF EVOLUTIONARY COMPUTATION - Anil Menon.pdf

5.8 MB

Recurrent Neural Networks Design And Applications - L.R. Medsker.pdf

5.8 MB

prediction, learning, and games (2006).pdf

5.8 MB

Fuzzy Control Systems Design and Analysis A Linear Matrix Inequality Approach - Kazuo Tanaka, Hua O. Wang.pdf

5.6 MB

Genetic programming Complex adaptive systems - Koza J.R..pdf

5.6 MB

Intelligent Information Integration for the Semantic Web - Ubbo Visser.pdf

5.5 MB

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering - Nikola Kazabov.pdf

5.5 MB

Simulating Continuous Fuzzy Systems - James J. Buckley.pdf

5.1 MB

mining the social web - analyzing data from facebook, twitter, linkedin and other social media sites (2011).pdf

5.0 MB

Multiagent systems a modern approach to distributed artificial intelligence - Gerhard Weiss.pdf

4.9 MB

Particle Swarm Optimization Methods for Pattern Recognition and Image Processing - Mahamed G. H. Omran.pdf

4.8 MB

Learning Bayesian Networks - Neapolitan R. E..pdf

4.8 MB

pattern recognition and machine learning (2007).pdf

4.7 MB

Data Mining with Computational Intelligence - Lipo Wang , Xiuju Fu.pdf

4.7 MB

Pattern Recognition in Speech and Language Processing - WU CHOU.pdf

4.7 MB

schaum's outline of probability, random variables and random processes (1997).pdf

4.6 MB

Common Lisp the Language, 2nd Edition - Guy L. Steele.pdf

4.6 MB

An Introduction to Pattern Recognition - Michael Alder.pdf

4.6 MB

artificial intelligence for games (2nd, 2009).pdf

4.3 MB

reinforcement learning - an introduction (1998).pdf

4.2 MB

artificial intelligence (luger, 6th, 2008).pdf

4.2 MB

Building Expert Systems in Prolog - Dennis Merritt.pdf

4.2 MB

gaussian processes for machine learning (2005).pdf

4.1 MB

matrix algebra - theory, computations, and applications in statistics (2007).pdf

4.0 MB

Feature Extraction in Computer Vision and Image Processing - Mark S. Nixon.pdf

4.0 MB

Artificial Intelligence and Expert Systems for Engineers - Krishnamoorthy , S. Rajeev.pdf

3.8 MB

Foundations Of Soft Case-based Reasoning - SANKAR K. PAL.pdf

3.8 MB

large-scale inference - empirical bayes methods for estimation, testing, and prediction (2010).pdf

3.8 MB

a field guide to genetic programming (2008).pdf

3.8 MB

Reinforcement Learning An Introduction - Richard S. Sutton , Andrew G. Barto.pdf

3.8 MB

Fuzzy Expert Systems and Fuzzy Reasoning - William Siler.pdf

3.7 MB

introduction to machine learning (alpaydin, 2009).pdf

3.7 MB

FUZZY SETS AND THEIR APPLICATIONS TO COGNITIVE AND DECISION PROCESSES - Lotfi A. Zadeh , King-Sun Fu.pdf

3.7 MB

an introduction to pattern recognition - a matlab approach (2010).pdf

3.5 MB

programming collective intelligence - building smart web 2.0 applications (2007).pdf

3.5 MB

Ontological Semantics - Sergei Nirenburg , Victor Raskin.pdf

3.4 MB

numerical optimization (2nd, 2006).pdf

3.4 MB

RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS Design and Applications - Lakhmi Jain.pdf

3.4 MB

a first look at rigorous probability theory (2nd, 2006).pdf

3.3 MB

kernel methods for pattern analysis (2004).pdf

3.2 MB

Intelligent Systems for Engineers and Scientists 2d ed - Adrian A. Hopgood.pdf

3.2 MB

Statistical Pattern Recognition 2nd Ed - Andrew R. Webb.pdf

3.1 MB

optimization for machine learning (2011).pdf

3.1 MB

An Introduction to Scheme and its Implementation.pdf

3.1 MB

Computational Intelligence For Decision Support - Chen.pdf

3.1 MB

introduction to probability (grinstead and snell, 2006).pdf

3.0 MB

how to prove it - a structured approach (2nd, 2006).pdf

2.7 MB

ensemble methods in data mining (2010).pdf

2.7 MB

Introduction to Machine Learning - Nils J Nilsson.pdf

2.7 MB

ARTIFICIAL INTELLIGENCE and SOFTWARE ENGINEERING Understanding the Promise of the Future - Derek Partridge.pdf

2.7 MB

Simply Scheme Introducing Computer Science 2d ed - Brian Harvey , Matthew Wright.pdf

2.7 MB

Common Lisp - An Interactive Approach - STUART C. SHAPIRO.pdf

2.6 MB

statistics in plain english (3rd, 2010).pdf

2.6 MB

Artificial Neural Networks - Colin Fyfe.pdf

2.6 MB

Concrete Abstractions An Introduction to Computer Science Using Scheme - Max Hailperin, Barbara Kaiser, and Karl Knight.pdf

2.6 MB

Knowledge representation reasoning and declarative problem solving with Answer sets - Chitta Baral.pdf

2.6 MB

Essentials of Programming Languages 2d ed - Daniel P. FriedmanMitchell WandChristopher T. Haynes.pdf

2.5 MB

C++ Neural Networks and Fuzzy Logic - Valluru B. Rao.pdf

2.5 MB

knowledge representation and reasoning (2004).pdf

2.4 MB

Fundamentals of Computer Vision - Mubarak Shah.pdf

2.3 MB

all of nonparametric statistics (2010).pdf

2.3 MB

an introduction to generalized linear models (2nd, 2001).pdf

2.2 MB

Machine Learning, Game Play, and Go - David Stoutamire.pdf

2.1 MB

Logic, Programming and Prolog 2d ed - Ulf Nilsson , Jan Maluszynski.pdf

2.0 MB

ant colony optimization (2004).pdf

2.0 MB

Data Mining Using Grammar Based Genetic Programming and Applications - Wong, Cheung.pdf

2.0 MB

Dynamic Bayesian Networks Representation, Inference And Learning - Kevin Patrick Murphy.pdf

1.8 MB

Agent-Oriented Programming - From Prolog to Guarded Definite Clauses - Matthew M. Huntbach.pdf

1.8 MB

Artificial Intelligence Strategies, Applications, and Models Through Search 2d ed - Christopher Thornton.pdf

1.8 MB

Successful Lisp How to Understand and Use Common Lisp - David B. Lamkins.pdf

1.8 MB

Machine Learning, Neural And Statistical Classification - Cc Taylor.pdf

1.8 MB

Learn Prolog Now! - Patrick Blackburn, Johan Bos , Kristina Striegnitz.pdf

1.7 MB

Formal Syntax and Semantics of Programming Languages - Kenneth Slonneger.pdf

1.7 MB

Programming Neural Networks in Java - JeffHeaton.pdf

1.7 MB

COMPUTATIONAL LINGUISTICSModels, Resources, Applications - Igor A. Bolshakov , Alexander Gelbukh.pdf

1.7 MB

Statistical Machine Learning For Information Retrieval - Adam Berger.pdf

1.5 MB

Fuzzy Logic in Embedded Microcomputers and Control Systems - Walter Banks.pdf

1.4 MB

Natural Language Processing for Online Applications Text Retrieval,Extraction and Categorization - Peter Jackson , Isabelle Moulinier.pdf

1.3 MB

Teach Yourself Scheme in Fixnum Days - Dorai Sitaram.pdf

1.3 MB

An Introduction to Neural Networks - Patrick van der Smagt.pdf

1.3 MB

Practical Artificial Intelligence Programming in Java - Mark Watson.pdf

1.3 MB

A Practical Theory of Programming - Eric C.R. Hehner.pdf

1.2 MB

Artificial Intelligence Through Prolog - Neil C Rowe.pdf

1.2 MB

Common Lisp - A Gentle Introduction To Symbolic Computation - David S. Touretzky.pdf

1.1 MB

learning deep architectures for AI (2009).pdf

1.1 MB

PROBLEM SOLVING WITH REINFORCEMENT LEARNING - Gavin Adrian Rummery.pdf

1.1 MB

On LISP Advanced Techniques for Common LISP - Paul Graham.pdf

1.1 MB

Prolog and Natural Language Analysis - Fernando C. N. Pereira , Stuart M. Shieber.pdf

1.1 MB

An Introduction To Programming In Emacs Lisp, 2Nd Ed - Robert J. Chassell.pdf

1.1 MB

Adventure in Prolog - Amzi.pdf

921.8 KB

pattern recognition and machine learning solutions.pdf

904.3 KB

The International Dictionary Of Artificial Intelligence - William Raynor.pdf

832.9 KB

Writing GNU Emacs Extensions - Bob Glickstein.pdf

713.2 KB

Prolog Programming A First Course - Paul Brna.pdf

651.1 KB

introduction to linear algebra solution manual.pdf

604.5 KB

Basic Lisp Techniques - David J. Cooper.pdf

592.1 KB

matrix cookbook.pdf

534.7 KB

lisp book - Gary D. Knott.pdf

472.3 KB

elements of statistical learning sol1.pdf

145.4 KB

elements of statistical learning sol2.pdf

69.3 KB

How to Design Programs An Introduction to Computing and Programming - Matthias Felleisen.pdf

12.9 KB

 

Total files 216


Copyright © 2024 FileMood.com