Artificial intelligence Zipped

1. FUZZY SETS AND FUZZY LOGIC Theory and Applications - GEORGE J. KLIR , BO YUAN.7z111.17MB
2. Computer Vision 2d ed - Dand h Ballard.7z94.57MB
3. Multiple View Geometry in Computer Vision 2ed - Hartley R., Zisserman A.7z87.58MB
4. introduction to linear algebra (4th, 2009).7z84.97MB
5. Handbook Of Mathematical Models In Computer Vision - Nikos Paragios.7z82.98MB
6. Artificial Intelligence, Structures And Strategies For Complex Problem Solving 3rd ed - George F Luger.7z51.05MB
7. Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman.7z48.85MB
8. applied linear statistical models (5th, 2004).7z48.15MB
9. Computer Vision A Modern Approach - Forsyth , Ponce.7z47.79MB
10. calculus (spivak, 3rd, 1994).7z45.38MB
11. introduction to evolutionary computing (2003).7z42.63MB
12. an introduction to probability theory and applications (vol2, 1971).7z36.53MB
13. Neural Networks - A Comprehensive Foundation - Simon Haykin.7z36.32MB
14. Pattern recognition and image preprocessing 2nd ed -Sing T. Bow.7z36.26MB
15. Machine Learning - Tom Mitchell.7z36.11MB
16. calculus (strang, 1991).7z28.85MB
17. PROLOG PROGRAMMING FOR ARTIFICIAL INTELLIGENCE - lvan Bratko.7z28.03MB
18. The Handbook Of Brain Theory And Neural Networks 2Nd Ed - Michael A Arbib.7z27.29MB
19. an introduction to probability theory and applications (vol1, 3rd, 1968).7z26.54MB
20. Computational Web Intelligence Intelligent Technology for Web Applications - Y.-Q. Zhang.7z25.83MB
21. Handbook of Computer Vision and Applications Volume 3 Systems and Applications - Bernd Jahne.7z25.45MB
22. FLEXIBLE NEURO-FUZZY SYSTEMS Structures, Learning and Performance Evaluation - Leszek Rutkowski.7z24.65MB
23. The Elements of Artificial Intelligence Using Lisp - Steven L. Tanimoto.7z24.52MB
24. fundamentals of matrix computations (2nd, 2002).7z23.53MB
25. Artificial Intelligence A Modern Approach - Stuart J. Russell , Peter Norvig.7z22.06MB
26. Static and Dynamic Neural Networks From Fundamentals to Advanced Theory - Madan M. Gupta, Liang Jin, Noriyasu Homma.7z21.47MB
27. Computer Vision and Applications A Guide for Students and Practitioners - Bernd Jahne.7z21.12MB
28. Methods And Applications Of Artificial Intelligence - Themistoklis Panayiotopoulos.7z20.59MB
29. The Art of Prolog 2nd Ed - Leon Sterling , Ehud Shapiro.7z20.17MB
30. Artificial Intelligence Today Recent Trends and Development - Manuela Veloso.7z19.27MB
31. Artificial Intelligence Applications and Innovations - Bramer Max.7z17.51MB
32. Machine Learning, Neural And Statistical Classification - Michie , Spiegelhalter , Taylor.7z16.66MB
33. introduction to probability (bertsekas, 2nd, 2008).7z16.65MB
34. Machine Learning And Its Applications - Georgios Paliouras.7z16.42MB
35. universal artificial intelligence (2005).7z16.11MB
36. Methods and Procedures for the Verification and Validation of Artificial Neural Networks - Brian J. Taylor.7z15.9MB
37. a course in probability theory (3rd, 2000).7z15.71MB
38. Handbook of Computer Vision and Applications Volume 2 Signal Processing and Pattern Recognition - - Bernd Jahne.7z15.59MB
39. introduction to bayesian statistics (2nd, 2007).7z15.23MB
40. Advances in Artificial Intelligence – SBIA 2004 - Ana L.C. Bazzan , Sofiane Labidi.7z14.94MB
41. practical methods for optimization (2nd, 1987).7z14.91MB
42. Computational Intelligence An Introduction - Andries P. Engelbrecht.7z14.38MB
43. evolving connectionist systems - the knowledge engineering approach (2007).7z14.21MB
44. artificial intelligence - a modern approach (3rd, 2009).7z14.13MB
45. bio-inspired artificial intelligence (2008).7z13.73MB
46. introduction to analysis (1985).7z13.45MB
47. the art of artificial evolution - a handbook on evolutionary art and music (2007).7z13.21MB
48. Intelligent Communication Systems - Nobuyoshi Terashima.7z13.09MB
49. Handbook of Computer Vision and Applications Volume 1 Sensors and Imaging - Bernd Jahne.7z13MB
50. Evolutionary Synthesis of Pattern Recognition Systems - Bir Bhanu.7z12.63MB
51. the quest for AI - a history of ideas and achievements (2010).7z12.45MB
52. robust statistics (2nd, 2009).7z11.89MB
53. Analysis And Applications Of Artificial Neural Networks - LPG Veelenturf.7z11.72MB
54. Computer Vision - Linda Shapiro.7z11.63MB
55. statistics - the exploration and analysis of data (7th, 2010).7z11.63MB
56. matrix computations (3rd, 1996).7z11.24MB
57. introduction to linear optimization (1997).7z11.15MB
58. modern multivariate statistical techniques - regression, classification and manifold learning (2008).7z11.13MB
59. multivariate data analysis (7th, 2009).7z10.8MB
60. Genetic Programming Theory and Practice II - John Koza.7z10.61MB
61. Advances in Applied Artificial Intelligence - John Fulcher.7z10.13MB
62. Intelligent Control Systems Using Soft Computing Methodologies - Ali Zilouchian.7z10.04MB
63. Computational Intelligence in Manufacturing Handbook - Jun Wang.7z9.72MB
64. The Handbook of Evolutionary Computation - Kenneth De Jong.7z8.78MB
65. Genetic Programming An Introduction On the Automatic Evolution of Computer Programs and its Applications - Morgan Kaufmann.7z7.07MB
66. Artificial Intelligence and Soft Computing Behavioral and Cognitive Modeling of the Human Brain - Konar Amit.7z6.77MB
67. Neural Networks Algorithms, Applications,and Programming Techniques - James A. Freeman.7z6.43MB
68. Vision with Direction A Systematic Introduction to Image Processing and Computer Vision - Josef Bigun.7z6.28MB
69. Introduction to Statistical Pattern Recognition 2nd Ed - Keinosuke Fukunaga.7z6.21MB
70. Foundations of Statistical Natural Language Processing - Christopher D. Manning.7z6.19MB
71. convex optimization (2004).7z5.87MB
72. Swarm intelligence - James Kennedy.7z5.75MB
73. swarm intelligence (2001).7z5.75MB
74. The handbook of applied expert systems - Jay Liebowitz.7z5.6MB
75. Kalman Filtering and Neural Networks - Simon Haykin.7z5.41MB
76. Fuzzy Sets And Fuzzy Information Granulation Theory - lotfi Zadeh.7z5.19MB
77. Data Mining Practical Machine Learning Tools and Techniques 2d ed - Morgan Kaufmann.7z5.16MB
78. artificial general intelligence (2007).7z5.13MB
79. Artificial Neural Networks in Real-life Applications - Juan R. Rabunal.7z5.01MB
80. Simulating Continuous Fuzzy Systems - James J. Buckley.7z4.85MB
81. Fuzzy Sets And Systems Theory And Applications - Didier Dubois , Henri Prade.7z4.55MB
82. Particle Swarm Optimization Methods for Pattern Recognition and Image Processing - Mahamed G. H. Omran.7z4.45MB
83. Computational Intelligence In Control - Masoud Mohammadian.7z4.44MB
84. Genetic programming Complex adaptive systems - Koza J.R..7z4.43MB
85. Recurrent Neural Networks Design And Applications - L.R. Medsker.7z4.34MB
86. Fuzzy Control Systems Design and Analysis A Linear Matrix Inequality Approach - Kazuo Tanaka, Hua O. Wang.7z4.33MB
87. Machine Learning in Computer Vision - N. SEBE.7z4.31MB
88. Intelligent Information Integration for the Semantic Web - Ubbo Visser.7z4.26MB
89. Learning Bayesian Networks - Neapolitan R. E..7z4.17MB
90. Handbook of Computer Vision Algorithms in Image Algebra, 2nd Ed - Gerhard X. Ritter.7z4.04MB
91. artificial intelligence (luger, 6th, 2008).7z3.95MB
92. schaum's outline of probability, random variables and random processes (1997).7z3.91MB
93. Common Lisp the Language, 2nd Edition - Guy L. Steele.7z3.74MB
94. Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering - Nikola Kazabov.7z3.74MB
95. artificial intelligence for games (2nd, 2009).7z3.6MB
96. numerical optimization (2nd, 2006).7z3.23MB
97. probability theory - the logic of science (2003).7z2.95MB
98. matrix algebra - theory, computations, and applications in statistics (2007).7z2.92MB
99. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms Industrial Applications - Lakhmi C. Jain , N.M. Martin.7z2.91MB
100. Fusion Of Neural Networks, Fuzzy Systems And Genetic Algorithms - Lakhmi C. Jain , N.M. Martin.7z2.91MB
101. Feature Extraction in Computer Vision and Image Processing - Mark S. Nixon.7z2.9MB
102. Evolutionary Computation for Modeling and Optimization - Daniel Ashlock.7z2.88MB
103. Ontological Semantics - Sergei Nirenburg , Victor Raskin.7z2.84MB
104. FRONTIERS OF EVOLUTIONARY COMPUTATION - Anil Menon.7z2.8MB
105. optimization for machine learning (2011).7z2.76MB
106. a first look at rigorous probability theory (2nd, 2006).7z2.67MB
107. FUZZY SETS AND THEIR APPLICATIONS TO COGNITIVE AND DECISION PROCESSES - Lotfi A. Zadeh , King-Sun Fu.7z2.66MB
108. RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS Design and Applications - Lakhmi Jain.7z2.61MB
109. Multiagent systems a modern approach to distributed artificial intelligence - Gerhard Weiss.7z2.52MB
110. all of statistics - a concise course in statistical inference (2010).7z2.47MB
111. Statistical Pattern Recognition 2nd Ed - Andrew R. Webb.7z2.46MB
112. introduction to probability (grinstead and snell, 2006).7z2.4MB
113. prediction, learning, and games (2006).7z2.32MB
114. Pattern Recognition in Speech and Language Processing - WU CHOU.7z2.27MB
115. statistics in plain english (3rd, 2010).7z2.27MB
116. Intelligent Systems for Engineers and Scientists 2d ed - Adrian A. Hopgood.7z2.25MB
117. how to prove it - a structured approach (2nd, 2006).7z2.19MB
118. Knowledge representation reasoning and declarative problem solving with Answer sets - Chitta Baral.7z2.13MB
119. all of nonparametric statistics (2010).7z2.12MB
120. Computational Intelligence For Decision Support - Chen.7z2.08MB
121. a field guide to genetic programming (2008).7z2.08MB
122. Artificial Neural Networks - Colin Fyfe.7z2.03MB
123. knowledge representation and reasoning (2004).7z2MB
124. Concrete Abstractions An Introduction to Computer Science Using Scheme - Max Hailperin, Barbara Kaiser, and Karl Knight.7z1.93MB
125. An Introduction to Pattern Recognition - Michael Alder.7z1.93MB
126. Simply Scheme Introducing Computer Science 2d ed - Brian Harvey , Matthew Wright.7z1.92MB
127. reinforcement learning - an introduction (1998).7z1.9MB
128. Data Mining with Computational Intelligence - Lipo Wang , Xiuju Fu.7z1.89MB
129. Machine Learning, Game Play, and Go - David Stoutamire.7z1.86MB
130. Building Expert Systems in Prolog - Dennis Merritt.7z1.83MB
131. ant colony optimization (2004).7z1.72MB
132. ARTIFICIAL INTELLIGENCE and SOFTWARE ENGINEERING Understanding the Promise of the Future - Derek Partridge.7z1.71MB
133. Essentials of Programming Languages 2d ed - Daniel P. FriedmanMitchell WandChristopher T. Haynes.7z1.7MB
134. Reinforcement Learning An Introduction - Richard S. Sutton , Andrew G. Barto.7z1.67MB
135. Logic, Programming and Prolog 2d ed - Ulf Nilsson , Jan Maluszynski.7z1.62MB
136. Machine Learning, Neural And Statistical Classification - Cc Taylor.7z1.56MB
137. Agent-Oriented Programming - From Prolog to Guarded Definite Clauses - Matthew M. Huntbach.7z1.55MB
138. Dynamic Bayesian Networks Representation, Inference And Learning - Kevin Patrick Murphy.7z1.53MB
139. Foundations Of Soft Case-based Reasoning - SANKAR K. PAL.7z1.49MB
140. COMPUTATIONAL LINGUISTICSModels, Resources, Applications - Igor A. Bolshakov , Alexander Gelbukh.7z1.46MB
141. Fundamentals of Computer Vision - Mubarak Shah.7z1.44MB
142. Programming Neural Networks in Java - JeffHeaton.7z1.44MB
143. Artificial Intelligence and Expert Systems for Engineers - Krishnamoorthy , S. Rajeev.7z1.34MB
144. Fuzzy Logic in Embedded Microcomputers and Control Systems - Walter Banks.7z1.34MB
145. Fuzzy Expert Systems and Fuzzy Reasoning - William Siler.7z1.34MB
146. an introduction to generalized linear models (2nd, 2001).7z1.31MB
147. Formal Syntax and Semantics of Programming Languages - Kenneth Slonneger.7z1.31MB
148. C++ Neural Networks and Fuzzy Logic - Valluru B. Rao.7z1.25MB
149. Intelligent Systems Fusion, Tracking, and Control - GeeWah Ng.7z1.23MB
150. Natural Language Processing for Online Applications Text Retrieval,Extraction and Categorization - Peter Jackson , Isabelle Moulinier.7z1.18MB
151. Data Mining Using Grammar Based Genetic Programming and Applications - Wong, Cheung.7z1.12MB
152. Statistical Machine Learning For Information Retrieval - Adam Berger.7z1.08MB
153. Practical Artificial Intelligence Programming in Java - Mark Watson.7z1.07MB
154. An Introduction to Neural Networks - Patrick van der Smagt.7z1.02MB
155. A Practical Theory of Programming - Eric C.R. Hehner.7z998.18KB
156. Computer Modeling and Simulation Techniques for Computer Vision Problems - Ming-Chin Lu.7z941.54KB
157. PROBLEM SOLVING WITH REINFORCEMENT LEARNING - Gavin Adrian Rummery.7z901.43KB
158. Prolog and Natural Language Analysis - Fernando C. N. Pereira , Stuart M. Shieber.7z876.57KB
159. On LISP Advanced Techniques for Common LISP - Paul Graham.7z876.04KB
160. Common Lisp - A Gentle Introduction To Symbolic Computation - David S. Touretzky.7z833.81KB
161. Artificial Intelligence Through Prolog - Neil C Rowe.7z777.27KB
162. An Introduction To Programming In Emacs Lisp, 2Nd Ed - Robert J. Chassell.7z773.98KB
163. Artificial Intelligence Strategies, Applications, and Models Through Search 2d ed - Christopher Thornton.7z751.33KB
164. The International Dictionary Of Artificial Intelligence - William Raynor.7z661.08KB
165. Writing GNU Emacs Extensions - Bob Glickstein.7z593.37KB
166. Common Lisp - An Interactive Approach - STUART C. SHAPIRO.7z560.73KB
167. Prolog Programming A First Course - Paul Brna.7z531.14KB
168. Introduction to Machine Learning - Nils J Nilsson.7z492.13KB
169. Basic Lisp Techniques - David J. Cooper.7z482.99KB
170. lisp book - Gary D. Knott.7z410.77KB
171. matrix cookbook.7z357.96KB
172. An Introduction to Scheme and its Implementation.7z341.07KB
173. Successful Lisp How to Understand and Use Common Lisp - David B. Lamkins.7z280.05KB
174. Learn Prolog Now! - Patrick Blackburn, Johan Bos , Kristina Striegnitz.7z278.11KB
175. Teach Yourself Scheme in Fixnum Days - Dorai Sitaram.7z138.76KB
176. Adventure in Prolog - Amzi.7z133.96KB
177. How to Design Programs An Introduction to Computing and Programming - Matthias Felleisen.7z3.43KB