Artificial Intelligence Books
File List
- FUZZY SETS AND FUZZY LOGIC Theory and Applications - GEORGE J. KLIR , BO YUAN.pdf 119.4 MB
- Computer Vision 2d ed - Dand h Ballard.pdf 105.1 MB
- Multiple View Geometry in Computer Vision 2ed - Hartley R., Zisserman A.pdf 99.2 MB
- Handbook Of Mathematical Models In Computer Vision - Nikos Paragios.pdf 97.1 MB
- introduction to linear algebra (4th, 2009).pdf 89.9 MB
- Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman.pdf 68.2 MB
- probabilistic graphical models - principles and techniques (2009).pdf 66.2 MB
- Artificial Intelligence, Structures And Strategies For Complex Problem Solving 3rd ed - George F Luger.pdf 58.9 MB
- Computer Vision A Modern Approach - Forsyth , Ponce.pdf 50.3 MB
- applied linear statistical models (5th, 2004).pdf 49.8 MB
- calculus (spivak, 3rd, 1994).pdf 48.4 MB
- introduction to evolutionary computing (2003).pdf 44.9 MB
- all of statistics - a concise course in statistical inference (2010).pdf 44.9 MB
- an introduction to probability theory and applications (vol2, 1971).pdf 42.1 MB
- machine learning - an algorithmic perspective (2009).pdf 41.9 MB
- Neural Networks - A Comprehensive Foundation - Simon Haykin.pdf 40.4 MB
- Pattern recognition and image preprocessing 2nd ed -Sing T. Bow.pdf 37.2 MB
- Machine Learning - Tom Mitchell.pdf 37.0 MB
- machine learning (1997).pdf 37.0 MB
- Artificial Intelligence A Modern Approach - Stuart J. Russell , Peter Norvig.pdf 36.2 MB
- Computational Web Intelligence Intelligent Technology for Web Applications - Y.-Q. Zhang.pdf 35.2 MB
- an introduction to probability theory and applications (vol1, 3rd, 1968).pdf 35.1 MB
- calculus (strang, 1991).pdf 33.5 MB
- PROLOG PROGRAMMING FOR ARTIFICIAL INTELLIGENCE - lvan Bratko.pdf 31.7 MB
- The Handbook Of Brain Theory And Neural Networks 2Nd Ed - Michael A Arbib.pdf 31.6 MB
- godel, escher, bach - an eternal golden braid (1999).pdf 31.3 MB
- The handbook of applied expert systems - Jay Liebowitz.pdf 31.2 MB
- statistical learning theory (1998).pdf 29.8 MB
- Handbook of Computer Vision and Applications Volume 3 Systems and Applications - Bernd Jahne.pdf 29.8 MB
- The Elements of Artificial Intelligence Using Lisp - Steven L. Tanimoto.pdf 27.0 MB
- FLEXIBLE NEURO-FUZZY SYSTEMS Structures, Learning and Performance Evaluation - Leszek Rutkowski.pdf 26.8 MB
- fundamentals of matrix computations (2nd, 2002).pdf 25.6 MB
- Methods And Applications Of Artificial Intelligence - Themistoklis Panayiotopoulos.pdf 25.2 MB
- Artificial Intelligence Today Recent Trends and Development - Manuela Veloso.pdf 24.7 MB
- Static and Dynamic Neural Networks From Fundamentals to Advanced Theory - Madan M. Gupta, Liang Jin, Noriyasu Homma.pdf 23.8 MB
- machine learning for hackers (2012).pdf 23.1 MB
- Computer Vision and Applications A Guide for Students and Practitioners - Bernd Jahne.pdf 22.7 MB
- The Art of Prolog 2nd Ed - Leon Sterling , Ehud Shapiro.pdf 22.3 MB
- introduction to bayesian statistics (2nd, 2007).pdf 21.8 MB
- answer book for calculus 3rd (spivak, 1994).pdf 21.5 MB
- Artificial Intelligence Applications and Innovations - Bramer Max.pdf 21.0 MB
- a course in probability theory (3rd, 2000).pdf 20.5 MB
- Machine Learning, Neural And Statistical Classification - Michie , Spiegelhalter , Taylor.pdf 20.1 MB
- Computer Vision - Linda Shapiro.pdf 19.5 MB
- Methods and Procedures for the Verification and Validation of Artificial Neural Networks - Brian J. Taylor.pdf 19.4 MB
- Advances in Artificial Intelligence – SBIA 2004 - Ana L.C. Bazzan , Sofiane Labidi.pdf 19.2 MB
- speech and language processing (2nd, 2007).pdf 18.9 MB
- Handbook of Computer Vision and Applications Volume 2 Signal Processing and Pattern Recognition - - Bernd Jahne.pdf 18.7 MB
- Machine Learning And Its Applications - Georgios Paliouras.pdf 18.3 MB
- universal artificial intelligence (2005).pdf 17.5 MB
- introduction to probability (bertsekas, 2nd, 2008).pdf 17.4 MB
- Computational Intelligence An Introduction - Andries P. Engelbrecht.pdf 17.0 MB
- evolving connectionist systems - the knowledge engineering approach (2007).pdf 16.6 MB
- Evolutionary Synthesis of Pattern Recognition Systems - Bir Bhanu.pdf 15.4 MB
- the quest for AI - a history of ideas and achievements (2010).pdf 15.3 MB
- probabilistic robotics (2005).pdf 15.0 MB
- practical methods for optimization (2nd, 1987).pdf 15.0 MB
- Handbook of Computer Vision and Applications Volume 1 Sensors and Imaging - Bernd Jahne.pdf 15.0 MB
- bio-inspired artificial intelligence (2008).pdf 14.9 MB
- artificial intelligence - a modern approach (3rd, 2009).pdf 14.9 MB
- the art of artificial evolution - a handbook on evolutionary art and music (2007).pdf 14.8 MB
- Intelligent Communication Systems - Nobuyoshi Terashima.pdf 14.7 MB
- introduction to analysis (1985).pdf 14.1 MB
- robust statistics (2nd, 2009).pdf 13.8 MB
- bayesian reasoning and machine learning (2012).pdf 13.6 MB
- introduction to linear optimization (1997).pdf 13.5 MB
- pattern recognition (4th, 2008).pdf 13.2 MB
- Advances in Applied Artificial Intelligence - John Fulcher.pdf 12.6 MB
- data mining - concepts and techniques (3rd, 2011).pdf 12.5 MB
- Introduction to Statistical Pattern Recognition 2nd Ed - Keinosuke Fukunaga.pdf 12.5 MB
- Genetic Programming Theory and Practice II - John Koza.pdf 12.5 MB
- elements of statistical learning (2008).pdf 12.3 MB
- statistics - the exploration and analysis of data (7th, 2010).pdf 12.1 MB
- Computational Intelligence in Manufacturing Handbook - Jun Wang.pdf 12.0 MB
- Analysis And Applications Of Artificial Neural Networks - LPG Veelenturf.pdf 11.9 MB
- modern multivariate statistical techniques - regression, classification and manifold learning (2008).pdf 11.8 MB
- matrix computations (3rd, 1996).pdf 11.6 MB
- Intelligent Control Systems Using Soft Computing Methodologies - Ali Zilouchian.pdf 11.5 MB
- multivariate data analysis (7th, 2009).pdf 11.1 MB
- a probabilistic theory of pattern recognition (1996).pdf 10.8 MB
- The Handbook of Evolutionary Computation - Kenneth De Jong.pdf 10.6 MB
- introduction to machine learning (smola, 2010).pdf 10.3 MB
- Handbook of Computer Vision Algorithms in Image Algebra, 2nd Ed - Gerhard X. Ritter.pdf 10.3 MB
- data analysis with open source tools (2010).pdf 10.2 MB
- Neural Networks Algorithms, Applications,and Programming Techniques - James A. Freeman.pdf 10.1 MB
- doing bayesian data analysis - a tutorial with R and BUGS (2010).pdf 9.9 MB
- learning with kernels (2002).pdf 9.8 MB
- Fuzzy Sets And Systems Theory And Applications - Didier Dubois , Henri Prade.pdf 9.5 MB
- Swarm intelligence - James Kennedy.pdf 9.0 MB
- swarm intelligence (2001).pdf 9.0 MB
- Artificial Neural Networks in Real-life Applications - Juan R. Rabunal.pdf 8.8 MB
- Artificial Intelligence and Soft Computing Behavioral and Cognitive Modeling of the Human Brain - Konar Amit.pdf 8.6 MB
- Evolutionary Computation for Modeling and Optimization - Daniel Ashlock.pdf 8.3 MB
- Intelligent Systems Fusion, Tracking, and Control - GeeWah Ng.pdf 8.0 MB
- Data Mining Practical Machine Learning Tools and Techniques 2d ed - Morgan Kaufmann.pdf 7.8 MB
- Genetic Programming An Introduction On the Automatic Evolution of Computer Programs and its Applications - Morgan Kaufmann.pdf 7.2 MB
- information theory, inference and learning algorithms (2003).pdf 7.1 MB
- Vision with Direction A Systematic Introduction to Image Processing and Computer Vision - Josef Bigun.pdf 7.0 MB
- data mining - practical machine learning tools and techniques (2011).pdf 6.9 MB
- an introduction to information retrieval (2009).pdf 6.6 MB
- Fusion Of Neural Networks, Fuzzy Systems And Genetic Algorithms - Lakhmi C. Jain , N.M. Martin.pdf 6.5 MB
- Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms Industrial Applications - Lakhmi C. Jain , N.M. Martin.pdf 6.5 MB
- Machine Learning in Computer Vision - N. SEBE.pdf 6.5 MB
- Foundations of Statistical Natural Language Processing - Christopher D. Manning.pdf 6.5 MB
- Building Machine Learning Systems with Python - Second Edition.pdf 6.5 MB
- foundations of statistical language processing (1999).pdf 6.3 MB
- convex optimization (2004).pdf 6.3 MB
- Computer Modeling and Simulation Techniques for Computer Vision Problems - Ming-Chin Lu.pdf 6.1 MB
- Kalman Filtering and Neural Networks - Simon Haykin.pdf 5.9 MB
- neural networks for applied sciences and engineering (2006).pdf 5.9 MB
- the algorithm design manual (2nd, 2008).pdf 5.9 MB
- probability theory - the logic of science (2003).pdf 5.8 MB
- Fuzzy Sets And Fuzzy Information Granulation Theory - lotfi Zadeh.pdf 5.8 MB
- artificial general intelligence (2007).pdf 5.7 MB
- Computational Intelligence In Control - Masoud Mohammadian.pdf 5.7 MB
- FRONTIERS OF EVOLUTIONARY COMPUTATION - Anil Menon.pdf 5.6 MB
- Recurrent Neural Networks Design And Applications - L.R. Medsker.pdf 5.6 MB
- prediction, learning, and games (2006).pdf 5.5 MB
- Fuzzy Control Systems Design and Analysis A Linear Matrix Inequality Approach - Kazuo Tanaka, Hua O. Wang.pdf 5.4 MB
- Genetic programming Complex adaptive systems - Koza J.R..pdf 5.3 MB
- Intelligent Information Integration for the Semantic Web - Ubbo Visser.pdf 5.3 MB
- Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering - Nikola Kazabov.pdf 5.2 MB
- Simulating Continuous Fuzzy Systems - James J. Buckley.pdf 4.9 MB
- mining the social web - analyzing data from facebook, twitter, linkedin and other social media sites (2011).pdf 4.8 MB
- Multiagent systems a modern approach to distributed artificial intelligence - Gerhard Weiss.pdf 4.6 MB
- Particle Swarm Optimization Methods for Pattern Recognition and Image Processing - Mahamed G. H. Omran.pdf 4.6 MB
- Learning Bayesian Networks - Neapolitan R. E..pdf 4.6 MB
- pattern recognition and machine learning (2007).pdf 4.5 MB
- Data Mining with Computational Intelligence - Lipo Wang , Xiuju Fu.pdf 4.5 MB
- Pattern Recognition in Speech and Language Processing - WU CHOU.pdf 4.4 MB
- schaum's outline of probability, random variables and random processes (1997).pdf 4.4 MB
- Common Lisp the Language, 2nd Edition - Guy L. Steele.pdf 4.4 MB
- An Introduction to Pattern Recognition - Michael Alder.pdf 4.4 MB
- artificial intelligence for games (2nd, 2009).pdf 4.1 MB
- reinforcement learning - an introduction (1998).pdf 4.0 MB
- artificial intelligence (luger, 6th, 2008).pdf 4.0 MB
- Building Expert Systems in Prolog - Dennis Merritt.pdf 4.0 MB
- gaussian processes for machine learning (2005).pdf 3.9 MB
- matrix algebra - theory, computations, and applications in statistics (2007).pdf 3.8 MB
- Feature Extraction in Computer Vision and Image Processing - Mark S. Nixon.pdf 3.8 MB
- Artificial Intelligence and Expert Systems for Engineers - Krishnamoorthy , S. Rajeev.pdf 3.7 MB
- Foundations Of Soft Case-based Reasoning - SANKAR K. PAL.pdf 3.6 MB
- large-scale inference - empirical bayes methods for estimation, testing, and prediction (2010).pdf 3.6 MB
- a field guide to genetic programming (2008).pdf 3.6 MB
- Reinforcement Learning An Introduction - Richard S. Sutton , Andrew G. Barto.pdf 3.6 MB
- Fuzzy Expert Systems and Fuzzy Reasoning - William Siler.pdf 3.6 MB
- introduction to machine learning (alpaydin, 2009).pdf 3.5 MB
- FUZZY SETS AND THEIR APPLICATIONS TO COGNITIVE AND DECISION PROCESSES - Lotfi A. Zadeh , King-Sun Fu.pdf 3.5 MB
- an introduction to pattern recognition - a matlab approach (2010).pdf 3.3 MB
- programming collective intelligence - building smart web 2.0 applications (2007).pdf 3.3 MB
- Ontological Semantics - Sergei Nirenburg , Victor Raskin.pdf 3.3 MB
- numerical optimization (2nd, 2006).pdf 3.3 MB
- RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS Design and Applications - Lakhmi Jain.pdf 3.2 MB
- a first look at rigorous probability theory (2nd, 2006).pdf 3.1 MB
- kernel methods for pattern analysis (2004).pdf 3.0 MB
- Intelligent Systems for Engineers and Scientists 2d ed - Adrian A. Hopgood.pdf 3.0 MB
- Statistical Pattern Recognition 2nd Ed - Andrew R. Webb.pdf 3.0 MB
- optimization for machine learning (2011).pdf 3.0 MB
- An Introduction to Scheme and its Implementation.pdf 2.9 MB
- Computational Intelligence For Decision Support - Chen.pdf 2.9 MB
- introduction to probability (grinstead and snell, 2006).pdf 2.9 MB
- how to prove it - a structured approach (2nd, 2006).pdf 2.6 MB
- ensemble methods in data mining (2010).pdf 2.6 MB
- Introduction to Machine Learning - Nils J Nilsson.pdf 2.6 MB
- ARTIFICIAL INTELLIGENCE and SOFTWARE ENGINEERING Understanding the Promise of the Future - Derek Partridge.pdf 2.6 MB
- Simply Scheme Introducing Computer Science 2d ed - Brian Harvey , Matthew Wright.pdf 2.5 MB
- Common Lisp - An Interactive Approach - STUART C. SHAPIRO.pdf 2.5 MB
- statistics in plain english (3rd, 2010).pdf 2.5 MB
- Artificial Neural Networks - Colin Fyfe.pdf 2.5 MB
- Concrete Abstractions An Introduction to Computer Science Using Scheme - Max Hailperin, Barbara Kaiser, and Karl Knight.pdf 2.5 MB
- Knowledge representation reasoning and declarative problem solving with Answer sets - Chitta Baral.pdf 2.5 MB
- Essentials of Programming Languages 2d ed - Daniel P. FriedmanMitchell WandChristopher T. Haynes.pdf 2.4 MB
- C++ Neural Networks and Fuzzy Logic - Valluru B. Rao.pdf 2.4 MB
- knowledge representation and reasoning (2004).pdf 2.3 MB
- Fundamentals of Computer Vision - Mubarak Shah.pdf 2.2 MB
- all of nonparametric statistics (2010).pdf 2.2 MB
- an introduction to generalized linear models (2nd, 2001).pdf 2.1 MB
- Machine Learning, Game Play, and Go - David Stoutamire.pdf 2.0 MB
- Logic, Programming and Prolog 2d ed - Ulf Nilsson , Jan Maluszynski.pdf 1.9 MB
- ant colony optimization (2004).pdf 1.9 MB
- Data Mining Using Grammar Based Genetic Programming and Applications - Wong, Cheung.pdf 1.9 MB
- Dynamic Bayesian Networks Representation, Inference And Learning - Kevin Patrick Murphy.pdf 1.7 MB
- Agent-Oriented Programming - From Prolog to Guarded Definite Clauses - Matthew M. Huntbach.pdf 1.7 MB
- Artificial Intelligence Strategies, Applications, and Models Through Search 2d ed - Christopher Thornton.pdf 1.7 MB
- Successful Lisp How to Understand and Use Common Lisp - David B. Lamkins.pdf 1.7 MB
- Machine Learning, Neural And Statistical Classification - Cc Taylor.pdf 1.7 MB
- Learn Prolog Now! - Patrick Blackburn, Johan Bos , Kristina Striegnitz.pdf 1.6 MB
- Formal Syntax and Semantics of Programming Languages - Kenneth Slonneger.pdf 1.6 MB
- Programming Neural Networks in Java - JeffHeaton.pdf 1.6 MB
- COMPUTATIONAL LINGUISTICSModels, Resources, Applications - Igor A. Bolshakov , Alexander Gelbukh.pdf 1.6 MB
- Statistical Machine Learning For Information Retrieval - Adam Berger.pdf 1.4 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 1.2 MB
- A Practical Theory of Programming - Eric C.R. Hehner.pdf 1.1 MB
- Artificial Intelligence Through Prolog - Neil C Rowe.pdf 1.1 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 1.0 MB
- Adventure in Prolog - Amzi.pdf 900.2 KB
- pattern recognition and machine learning solutions.pdf 883.1 KB
- The International Dictionary Of Artificial Intelligence - William Raynor.pdf 813.4 KB
- Writing GNU Emacs Extensions - Bob Glickstein.pdf 696.5 KB
- Prolog Programming A First Course - Paul Brna.pdf 635.8 KB
- introduction to linear algebra solution manual.pdf 590.3 KB
- Basic Lisp Techniques - David J. Cooper.pdf 578.2 KB
- matrix cookbook.pdf 522.2 KB
- lisp book - Gary D. Knott.pdf 461.2 KB
- elements of statistical learning sol1.pdf 142.0 KB
- elements of statistical learning sol2.pdf 67.7 KB
- How to Design Programs An Introduction to Computing and Programming - Matthias Felleisen.pdf 12.6 KB
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