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Artificial intelligence and machine learning

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文件列表

  1. FUZZY SETS AND FUZZY LOGIC Theory and Applications - GEORGE J. KLIR , BO YUAN.pdf 119MB
  2. Computer Vision 2d ed - Dand h Ballard.pdf 105MB
  3. Multiple View Geometry in Computer Vision 2ed - Hartley R., Zisserman A.pdf 99MB
  4. Handbook Of Mathematical Models In Computer Vision - Nikos Paragios.pdf 97MB
  5. introduction to linear algebra (4th, 2009).pdf 90MB
  6. Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman.pdf 68MB
  7. probabilistic graphical models - principles and techniques (2009).pdf 66MB
  8. Artificial Intelligence, Structures And Strategies For Complex Problem Solving 3rd ed - George F Luger.pdf 59MB
  9. Computer Vision A Modern Approach - Forsyth , Ponce.pdf 50MB
  10. applied linear statistical models (5th, 2004).pdf 50MB
  11. calculus (spivak, 3rd, 1994).pdf 48MB
  12. introduction to evolutionary computing (2003).pdf 45MB
  13. all of statistics - a concise course in statistical inference (2010).pdf 45MB
  14. an introduction to probability theory and applications (vol2, 1971).pdf 42MB
  15. machine learning - an algorithmic perspective (2009).pdf 42MB
  16. Neural Networks - A Comprehensive Foundation - Simon Haykin.pdf 40MB
  17. Pattern recognition and image preprocessing 2nd ed -Sing T. Bow.pdf 37MB
  18. Machine Learning - Tom Mitchell.pdf 37MB
  19. machine learning (1997).pdf 37MB
  20. Artificial Intelligence A Modern Approach - Stuart J. Russell , Peter Norvig.pdf 36MB
  21. Computational Web Intelligence Intelligent Technology for Web Applications - Y.-Q. Zhang.pdf 35MB
  22. an introduction to probability theory and applications (vol1, 3rd, 1968).pdf 35MB
  23. calculus (strang, 1991).pdf 34MB
  24. PROLOG PROGRAMMING FOR ARTIFICIAL INTELLIGENCE - lvan Bratko.pdf 32MB
  25. The Handbook Of Brain Theory And Neural Networks 2Nd Ed - Michael A Arbib.pdf 32MB
  26. godel, escher, bach - an eternal golden braid (1999).pdf 31MB
  27. The handbook of applied expert systems - Jay Liebowitz.pdf 31MB
  28. statistical learning theory (1998).pdf 30MB
  29. Handbook of Computer Vision and Applications Volume 3 Systems and Applications - Bernd Jahne.pdf 30MB
  30. The Elements of Artificial Intelligence Using Lisp - Steven L. Tanimoto.pdf 27MB
  31. FLEXIBLE NEURO-FUZZY SYSTEMS Structures, Learning and Performance Evaluation - Leszek Rutkowski.pdf 27MB
  32. fundamentals of matrix computations (2nd, 2002).pdf 26MB
  33. Methods And Applications Of Artificial Intelligence - Themistoklis Panayiotopoulos.pdf 25MB
  34. Artificial Intelligence Today Recent Trends and Development - Manuela Veloso.pdf 25MB
  35. Static and Dynamic Neural Networks From Fundamentals to Advanced Theory - Madan M. Gupta, Liang Jin, Noriyasu Homma.pdf 24MB
  36. machine learning for hackers (2012).pdf 23MB
  37. Computer Vision and Applications A Guide for Students and Practitioners - Bernd Jahne.pdf 23MB
  38. The Art of Prolog 2nd Ed - Leon Sterling , Ehud Shapiro.pdf 22MB
  39. introduction to bayesian statistics (2nd, 2007).pdf 22MB
  40. answer book for calculus 3rd (spivak, 1994).pdf 22MB
  41. Artificial Intelligence Applications and Innovations - Bramer Max.pdf 21MB
  42. a course in probability theory (3rd, 2000).pdf 20MB
  43. Machine Learning, Neural And Statistical Classification - Michie , Spiegelhalter , Taylor.pdf 20MB
  44. Computer Vision - Linda Shapiro.pdf 20MB
  45. Methods and Procedures for the Verification and Validation of Artificial Neural Networks - Brian J. Taylor.pdf 19MB
  46. Advances in Artificial Intelligence – SBIA 2004 - Ana L.C. Bazzan , Sofiane Labidi.pdf 19MB
  47. speech and language processing (2nd, 2007).pdf 19MB
  48. Handbook of Computer Vision and Applications Volume 2 Signal Processing and Pattern Recognition - - Bernd Jahne.pdf 19MB
  49. Machine Learning And Its Applications - Georgios Paliouras.pdf 18MB
  50. universal artificial intelligence (2005).pdf 18MB
  51. introduction to probability (bertsekas, 2nd, 2008).pdf 17MB
  52. Computational Intelligence An Introduction - Andries P. Engelbrecht.pdf 17MB
  53. evolving connectionist systems - the knowledge engineering approach (2007).pdf 17MB
  54. Evolutionary Synthesis of Pattern Recognition Systems - Bir Bhanu.pdf 15MB
  55. the quest for AI - a history of ideas and achievements (2010).pdf 15MB
  56. probabilistic robotics (2005).pdf 15MB
  57. practical methods for optimization (2nd, 1987).pdf 15MB
  58. Handbook of Computer Vision and Applications Volume 1 Sensors and Imaging - Bernd Jahne.pdf 15MB
  59. bio-inspired artificial intelligence (2008).pdf 15MB
  60. artificial intelligence - a modern approach (3rd, 2009).pdf 15MB
  61. the art of artificial evolution - a handbook on evolutionary art and music (2007).pdf 15MB
  62. Intelligent Communication Systems - Nobuyoshi Terashima.pdf 15MB
  63. introduction to analysis (1985).pdf 14MB
  64. robust statistics (2nd, 2009).pdf 14MB
  65. bayesian reasoning and machine learning (2012).pdf 14MB
  66. introduction to linear optimization (1997).pdf 14MB
  67. pattern recognition (4th, 2008).pdf 13MB
  68. Advances in Applied Artificial Intelligence - John Fulcher.pdf 13MB
  69. data mining - concepts and techniques (3rd, 2011).pdf 13MB
  70. Introduction to Statistical Pattern Recognition 2nd Ed - Keinosuke Fukunaga.pdf 13MB
  71. Genetic Programming Theory and Practice II - John Koza.pdf 12MB
  72. elements of statistical learning (2008).pdf 12MB
  73. statistics - the exploration and analysis of data (7th, 2010).pdf 12MB
  74. Computational Intelligence in Manufacturing Handbook - Jun Wang.pdf 12MB
  75. Analysis And Applications Of Artificial Neural Networks - LPG Veelenturf.pdf 12MB
  76. modern multivariate statistical techniques - regression, classification and manifold learning (2008).pdf 12MB
  77. matrix computations (3rd, 1996).pdf 12MB
  78. Intelligent Control Systems Using Soft Computing Methodologies - Ali Zilouchian.pdf 11MB
  79. multivariate data analysis (7th, 2009).pdf 11MB
  80. a probabilistic theory of pattern recognition (1996).pdf 11MB
  81. The Handbook of Evolutionary Computation - Kenneth De Jong.pdf 11MB
  82. introduction to machine learning (smola, 2010).pdf 10MB
  83. Handbook of Computer Vision Algorithms in Image Algebra, 2nd Ed - Gerhard X. Ritter.pdf 10MB
  84. data analysis with open source tools (2010).pdf 10MB
  85. Neural Networks Algorithms, Applications,and Programming Techniques - James A. Freeman.pdf 10MB
  86. doing bayesian data analysis - a tutorial with R and BUGS (2010).pdf 10MB
  87. learning with kernels (2002).pdf 10MB
  88. Fuzzy Sets And Systems Theory And Applications - Didier Dubois , Henri Prade.pdf 10MB
  89. Swarm intelligence - James Kennedy.pdf 9MB
  90. swarm intelligence (2001).pdf 9MB
  91. Artificial Neural Networks in Real-life Applications - Juan R. Rabunal.pdf 9MB
  92. Artificial Intelligence and Soft Computing Behavioral and Cognitive Modeling of the Human Brain - Konar Amit.pdf 9MB
  93. Evolutionary Computation for Modeling and Optimization - Daniel Ashlock.pdf 8MB
  94. Intelligent Systems Fusion, Tracking, and Control - GeeWah Ng.pdf 8MB
  95. Data Mining Practical Machine Learning Tools and Techniques 2d ed - Morgan Kaufmann.pdf 8MB
  96. Genetic Programming An Introduction On the Automatic Evolution of Computer Programs and its Applications - Morgan Kaufmann.pdf 7MB
  97. information theory, inference and learning algorithms (2003).pdf 7MB
  98. Vision with Direction A Systematic Introduction to Image Processing and Computer Vision - Josef Bigun.pdf 7MB
  99. data mining - practical machine learning tools and techniques (2011).pdf 7MB
  100. an introduction to information retrieval (2009).pdf 7MB
  101. Fusion Of Neural Networks, Fuzzy Systems And Genetic Algorithms - Lakhmi C. Jain , N.M. Martin.pdf 7MB
  102. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms Industrial Applications - Lakhmi C. Jain , N.M. Martin.pdf 7MB
  103. Machine Learning in Computer Vision - N. SEBE.pdf 7MB
  104. Foundations of Statistical Natural Language Processing - Christopher D. Manning.pdf 7MB
  105. Building Machine Learning Systems with Python - Second Edition.pdf 6MB
  106. foundations of statistical language processing (1999).pdf 6MB
  107. convex optimization (2004).pdf 6MB
  108. Computer Modeling and Simulation Techniques for Computer Vision Problems - Ming-Chin Lu.pdf 6MB
  109. Kalman Filtering and Neural Networks - Simon Haykin.pdf 6MB
  110. neural networks for applied sciences and engineering (2006).pdf 6MB
  111. the algorithm design manual (2nd, 2008).pdf 6MB
  112. probability theory - the logic of science (2003).pdf 6MB
  113. Fuzzy Sets And Fuzzy Information Granulation Theory - lotfi Zadeh.pdf 6MB
  114. artificial general intelligence (2007).pdf 6MB
  115. Computational Intelligence In Control - Masoud Mohammadian.pdf 6MB
  116. FRONTIERS OF EVOLUTIONARY COMPUTATION - Anil Menon.pdf 6MB
  117. Recurrent Neural Networks Design And Applications - L.R. Medsker.pdf 6MB
  118. prediction, learning, and games (2006).pdf 6MB
  119. Fuzzy Control Systems Design and Analysis A Linear Matrix Inequality Approach - Kazuo Tanaka, Hua O. Wang.pdf 5MB
  120. Genetic programming Complex adaptive systems - Koza J.R..pdf 5MB
  121. Intelligent Information Integration for the Semantic Web - Ubbo Visser.pdf 5MB
  122. Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering - Nikola Kazabov.pdf 5MB
  123. Simulating Continuous Fuzzy Systems - James J. Buckley.pdf 5MB
  124. mining the social web - analyzing data from facebook, twitter, linkedin and other social media sites (2011).pdf 5MB
  125. Multiagent systems a modern approach to distributed artificial intelligence - Gerhard Weiss.pdf 5MB
  126. Particle Swarm Optimization Methods for Pattern Recognition and Image Processing - Mahamed G. H. Omran.pdf 5MB
  127. Learning Bayesian Networks - Neapolitan R. E..pdf 5MB
  128. pattern recognition and machine learning (2007).pdf 5MB
  129. Data Mining with Computational Intelligence - Lipo Wang , Xiuju Fu.pdf 5MB
  130. Pattern Recognition in Speech and Language Processing - WU CHOU.pdf 4MB
  131. schaum's outline of probability, random variables and random processes (1997).pdf 4MB
  132. Common Lisp the Language, 2nd Edition - Guy L. Steele.pdf 4MB
  133. An Introduction to Pattern Recognition - Michael Alder.pdf 4MB
  134. artificial intelligence for games (2nd, 2009).pdf 4MB
  135. reinforcement learning - an introduction (1998).pdf 4MB
  136. artificial intelligence (luger, 6th, 2008).pdf 4MB
  137. Building Expert Systems in Prolog - Dennis Merritt.pdf 4MB
  138. gaussian processes for machine learning (2005).pdf 4MB
  139. matrix algebra - theory, computations, and applications in statistics (2007).pdf 4MB
  140. Feature Extraction in Computer Vision and Image Processing - Mark S. Nixon.pdf 4MB
  141. Artificial Intelligence and Expert Systems for Engineers - Krishnamoorthy , S. Rajeev.pdf 4MB
  142. Foundations Of Soft Case-based Reasoning - SANKAR K. PAL.pdf 4MB
  143. large-scale inference - empirical bayes methods for estimation, testing, and prediction (2010).pdf 4MB
  144. a field guide to genetic programming (2008).pdf 4MB
  145. Reinforcement Learning An Introduction - Richard S. Sutton , Andrew G. Barto.pdf 4MB
  146. Fuzzy Expert Systems and Fuzzy Reasoning - William Siler.pdf 4MB
  147. introduction to machine learning (alpaydin, 2009).pdf 4MB
  148. FUZZY SETS AND THEIR APPLICATIONS TO COGNITIVE AND DECISION PROCESSES - Lotfi A. Zadeh , King-Sun Fu.pdf 4MB
  149. an introduction to pattern recognition - a matlab approach (2010).pdf 3MB
  150. programming collective intelligence - building smart web 2.0 applications (2007).pdf 3MB
  151. Ontological Semantics - Sergei Nirenburg , Victor Raskin.pdf 3MB
  152. numerical optimization (2nd, 2006).pdf 3MB
  153. RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS Design and Applications - Lakhmi Jain.pdf 3MB
  154. a first look at rigorous probability theory (2nd, 2006).pdf 3MB
  155. kernel methods for pattern analysis (2004).pdf 3MB
  156. Intelligent Systems for Engineers and Scientists 2d ed - Adrian A. Hopgood.pdf 3MB
  157. Statistical Pattern Recognition 2nd Ed - Andrew R. Webb.pdf 3MB
  158. optimization for machine learning (2011).pdf 3MB
  159. An Introduction to Scheme and its Implementation.pdf 3MB
  160. Computational Intelligence For Decision Support - Chen.pdf 3MB
  161. introduction to probability (grinstead and snell, 2006).pdf 3MB
  162. how to prove it - a structured approach (2nd, 2006).pdf 3MB
  163. ensemble methods in data mining (2010).pdf 3MB
  164. Introduction to Machine Learning - Nils J Nilsson.pdf 3MB
  165. ARTIFICIAL INTELLIGENCE and SOFTWARE ENGINEERING Understanding the Promise of the Future - Derek Partridge.pdf 3MB
  166. Simply Scheme Introducing Computer Science 2d ed - Brian Harvey , Matthew Wright.pdf 3MB
  167. Common Lisp - An Interactive Approach - STUART C. SHAPIRO.pdf 3MB
  168. statistics in plain english (3rd, 2010).pdf 2MB
  169. Artificial Neural Networks - Colin Fyfe.pdf 2MB
  170. Concrete Abstractions An Introduction to Computer Science Using Scheme - Max Hailperin, Barbara Kaiser, and Karl Knight.pdf 2MB
  171. Knowledge representation reasoning and declarative problem solving with Answer sets - Chitta Baral.pdf 2MB
  172. Essentials of Programming Languages 2d ed - Daniel P. FriedmanMitchell WandChristopher T. Haynes.pdf 2MB
  173. C++ Neural Networks and Fuzzy Logic - Valluru B. Rao.pdf 2MB
  174. knowledge representation and reasoning (2004).pdf 2MB
  175. Fundamentals of Computer Vision - Mubarak Shah.pdf 2MB
  176. all of nonparametric statistics (2010).pdf 2MB
  177. an introduction to generalized linear models (2nd, 2001).pdf 2MB
  178. Machine Learning, Game Play, and Go - David Stoutamire.pdf 2MB
  179. Logic, Programming and Prolog 2d ed - Ulf Nilsson , Jan Maluszynski.pdf 2MB
  180. ant colony optimization (2004).pdf 2MB
  181. Data Mining Using Grammar Based Genetic Programming and Applications - Wong, Cheung.pdf 2MB
  182. Dynamic Bayesian Networks Representation, Inference And Learning - Kevin Patrick Murphy.pdf 2MB
  183. Agent-Oriented Programming - From Prolog to Guarded Definite Clauses - Matthew M. Huntbach.pdf 2MB
  184. Artificial Intelligence Strategies, Applications, and Models Through Search 2d ed - Christopher Thornton.pdf 2MB
  185. Successful Lisp How to Understand and Use Common Lisp - David B. Lamkins.pdf 2MB
  186. Machine Learning, Neural And Statistical Classification - Cc Taylor.pdf 2MB
  187. Learn Prolog Now! - Patrick Blackburn, Johan Bos , Kristina Striegnitz.pdf 2MB
  188. Formal Syntax and Semantics of Programming Languages - Kenneth Slonneger.pdf 2MB
  189. Programming Neural Networks in Java - JeffHeaton.pdf 2MB
  190. COMPUTATIONAL LINGUISTICSModels, Resources, Applications - Igor A. Bolshakov , Alexander Gelbukh.pdf 2MB
  191. Statistical Machine Learning For Information Retrieval - Adam Berger.pdf 1MB
  192. Fuzzy Logic in Embedded Microcomputers and Control Systems - Walter Banks.pdf 1MB
  193. Natural Language Processing for Online Applications Text Retrieval,Extraction and Categorization - Peter Jackson , Isabelle Moulinier.pdf 1MB
  194. Teach Yourself Scheme in Fixnum Days - Dorai Sitaram.pdf 1MB
  195. An Introduction to Neural Networks - Patrick van der Smagt.pdf 1MB
  196. Practical Artificial Intelligence Programming in Java - Mark Watson.pdf 1MB
  197. A Practical Theory of Programming - Eric C.R. Hehner.pdf 1MB
  198. Artificial Intelligence Through Prolog - Neil C Rowe.pdf 1MB
  199. Common Lisp - A Gentle Introduction To Symbolic Computation - David S. Touretzky.pdf 1MB
  200. learning deep architectures for AI (2009).pdf 1MB
  201. PROBLEM SOLVING WITH REINFORCEMENT LEARNING - Gavin Adrian Rummery.pdf 1MB
  202. On LISP Advanced Techniques for Common LISP - Paul Graham.pdf 1MB
  203. Prolog and Natural Language Analysis - Fernando C. N. Pereira , Stuart M. Shieber.pdf 1MB
  204. An Introduction To Programming In Emacs Lisp, 2Nd Ed - Robert J. Chassell.pdf 1MB
  205. Adventure in Prolog - Amzi.pdf 900KB
  206. pattern recognition and machine learning solutions.pdf 883KB
  207. The International Dictionary Of Artificial Intelligence - William Raynor.pdf 813KB
  208. Writing GNU Emacs Extensions - Bob Glickstein.pdf 697KB
  209. Prolog Programming A First Course - Paul Brna.pdf 636KB
  210. introduction to linear algebra solution manual.pdf 590KB
  211. Basic Lisp Techniques - David J. Cooper.pdf 578KB
  212. matrix cookbook.pdf 522KB
  213. lisp book - Gary D. Knott.pdf 461KB
  214. elements of statistical learning sol1.pdf 142KB
  215. elements of statistical learning sol2.pdf 68KB
  216. How to Design Programs An Introduction to Computing and Programming - Matthias Felleisen.pdf 13KB