Artificial intelligence and machine learning

1. FUZZY SETS AND FUZZY LOGIC Theory and Applications - GEORGE J. KLIR , BO YUAN.pdf119.35MB
2. Computer Vision 2d ed - Dand h Ballard.pdf105.12MB
3. Multiple View Geometry in Computer Vision 2ed - Hartley R., Zisserman A.pdf99.16MB
4. Handbook Of Mathematical Models In Computer Vision - Nikos Paragios.pdf97.09MB
5. introduction to linear algebra (4th, 2009).pdf89.94MB
6. Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman.pdf68.2MB
7. probabilistic graphical models - principles and techniques (2009).pdf66.17MB
8. Artificial Intelligence, Structures And Strategies For Complex Problem Solving 3rd ed - George F Luger.pdf58.9MB
9. Computer Vision A Modern Approach - Forsyth , Ponce.pdf50.29MB
10. applied linear statistical models (5th, 2004).pdf49.8MB
11. calculus (spivak, 3rd, 1994).pdf48.37MB
12. introduction to evolutionary computing (2003).pdf44.95MB
13. all of statistics - a concise course in statistical inference (2010).pdf44.94MB
14. an introduction to probability theory and applications (vol2, 1971).pdf42.09MB
15. machine learning - an algorithmic perspective (2009).pdf41.92MB
16. Neural Networks - A Comprehensive Foundation - Simon Haykin.pdf40.42MB
17. Pattern recognition and image preprocessing 2nd ed -Sing T. Bow.pdf37.15MB
18. Machine Learning - Tom Mitchell.pdf37MB
19. machine learning (1997).pdf37MB
20. Artificial Intelligence A Modern Approach - Stuart J. Russell , Peter Norvig.pdf36.23MB
21. Computational Web Intelligence Intelligent Technology for Web Applications - Y.-Q. Zhang.pdf35.23MB
22. an introduction to probability theory and applications (vol1, 3rd, 1968).pdf35.11MB
23. calculus (strang, 1991).pdf33.53MB
24. PROLOG PROGRAMMING FOR ARTIFICIAL INTELLIGENCE - lvan Bratko.pdf31.72MB
25. The Handbook Of Brain Theory And Neural Networks 2Nd Ed - Michael A Arbib.pdf31.6MB
26. godel, escher, bach - an eternal golden braid (1999).pdf31.29MB
27. The handbook of applied expert systems - Jay Liebowitz.pdf31.17MB
28. statistical learning theory (1998).pdf29.82MB
29. Handbook of Computer Vision and Applications Volume 3 Systems and Applications - Bernd Jahne.pdf29.77MB
30. The Elements of Artificial Intelligence Using Lisp - Steven L. Tanimoto.pdf27MB
31. FLEXIBLE NEURO-FUZZY SYSTEMS Structures, Learning and Performance Evaluation - Leszek Rutkowski.pdf26.81MB
32. fundamentals of matrix computations (2nd, 2002).pdf25.59MB
33. Methods And Applications Of Artificial Intelligence - Themistoklis Panayiotopoulos.pdf25.19MB
34. Artificial Intelligence Today Recent Trends and Development - Manuela Veloso.pdf24.67MB
35. Static and Dynamic Neural Networks From Fundamentals to Advanced Theory - Madan M. Gupta, Liang Jin, Noriyasu Homma.pdf23.81MB
36. machine learning for hackers (2012).pdf23.08MB
37. Computer Vision and Applications A Guide for Students and Practitioners - Bernd Jahne.pdf22.67MB
38. The Art of Prolog 2nd Ed - Leon Sterling , Ehud Shapiro.pdf22.27MB
39. introduction to bayesian statistics (2nd, 2007).pdf21.85MB
40. answer book for calculus 3rd (spivak, 1994).pdf21.53MB
41. Artificial Intelligence Applications and Innovations - Bramer Max.pdf20.98MB
42. a course in probability theory (3rd, 2000).pdf20.47MB
43. Machine Learning, Neural And Statistical Classification - Michie , Spiegelhalter , Taylor.pdf20.11MB
44. Computer Vision - Linda Shapiro.pdf19.5MB
45. Methods and Procedures for the Verification and Validation of Artificial Neural Networks - Brian J. Taylor.pdf19.39MB
46. Advances in Artificial Intelligence – SBIA 2004 - Ana L.C. Bazzan , Sofiane Labidi.pdf19.18MB
47. speech and language processing (2nd, 2007).pdf18.89MB
48. Handbook of Computer Vision and Applications Volume 2 Signal Processing and Pattern Recognition - - Bernd Jahne.pdf18.73MB
49. Machine Learning And Its Applications - Georgios Paliouras.pdf18.29MB
50. universal artificial intelligence (2005).pdf17.52MB
51. introduction to probability (bertsekas, 2nd, 2008).pdf17.37MB
52. Computational Intelligence An Introduction - Andries P. Engelbrecht.pdf16.96MB
53. evolving connectionist systems - the knowledge engineering approach (2007).pdf16.63MB
54. Evolutionary Synthesis of Pattern Recognition Systems - Bir Bhanu.pdf15.35MB
55. the quest for AI - a history of ideas and achievements (2010).pdf15.32MB
56. probabilistic robotics (2005).pdf15.01MB
57. practical methods for optimization (2nd, 1987).pdf14.98MB
58. Handbook of Computer Vision and Applications Volume 1 Sensors and Imaging - Bernd Jahne.pdf14.97MB
59. bio-inspired artificial intelligence (2008).pdf14.93MB
60. artificial intelligence - a modern approach (3rd, 2009).pdf14.85MB
61. the art of artificial evolution - a handbook on evolutionary art and music (2007).pdf14.82MB
62. Intelligent Communication Systems - Nobuyoshi Terashima.pdf14.69MB
63. introduction to analysis (1985).pdf14.11MB
64. robust statistics (2nd, 2009).pdf13.78MB
65. bayesian reasoning and machine learning (2012).pdf13.58MB
66. introduction to linear optimization (1997).pdf13.54MB
67. pattern recognition (4th, 2008).pdf13.23MB
68. Advances in Applied Artificial Intelligence - John Fulcher.pdf12.58MB
69. data mining - concepts and techniques (3rd, 2011).pdf12.53MB
70. Introduction to Statistical Pattern Recognition 2nd Ed - Keinosuke Fukunaga.pdf12.5MB
71. Genetic Programming Theory and Practice II - John Koza.pdf12.49MB
72. elements of statistical learning (2008).pdf12.33MB
73. statistics - the exploration and analysis of data (7th, 2010).pdf12.15MB
74. Computational Intelligence in Manufacturing Handbook - Jun Wang.pdf12.03MB
75. Analysis And Applications Of Artificial Neural Networks - LPG Veelenturf.pdf11.95MB
76. modern multivariate statistical techniques - regression, classification and manifold learning (2008).pdf11.77MB
77. matrix computations (3rd, 1996).pdf11.56MB
78. Intelligent Control Systems Using Soft Computing Methodologies - Ali Zilouchian.pdf11.48MB
79. multivariate data analysis (7th, 2009).pdf11.11MB
80. a probabilistic theory of pattern recognition (1996).pdf10.78MB
81. The Handbook of Evolutionary Computation - Kenneth De Jong.pdf10.62MB
82. introduction to machine learning (smola, 2010).pdf10.31MB
83. Handbook of Computer Vision Algorithms in Image Algebra, 2nd Ed - Gerhard X. Ritter.pdf10.31MB
84. data analysis with open source tools (2010).pdf10.16MB
85. Neural Networks Algorithms, Applications,and Programming Techniques - James A. Freeman.pdf10.11MB
86. doing bayesian data analysis - a tutorial with R and BUGS (2010).pdf9.91MB
87. learning with kernels (2002).pdf9.81MB
88. Fuzzy Sets And Systems Theory And Applications - Didier Dubois , Henri Prade.pdf9.52MB
89. Swarm intelligence - James Kennedy.pdf9.02MB
90. swarm intelligence (2001).pdf9.02MB
91. Artificial Neural Networks in Real-life Applications - Juan R. Rabunal.pdf8.78MB
92. Artificial Intelligence and Soft Computing Behavioral and Cognitive Modeling of the Human Brain - Konar Amit.pdf8.65MB
93. Evolutionary Computation for Modeling and Optimization - Daniel Ashlock.pdf8.26MB
94. Intelligent Systems Fusion, Tracking, and Control - GeeWah Ng.pdf8.02MB
95. Data Mining Practical Machine Learning Tools and Techniques 2d ed - Morgan Kaufmann.pdf7.76MB
96. Genetic Programming An Introduction On the Automatic Evolution of Computer Programs and its Applications - Morgan Kaufmann.pdf7.24MB
97. information theory, inference and learning algorithms (2003).pdf7.06MB
98. Vision with Direction A Systematic Introduction to Image Processing and Computer Vision - Josef Bigun.pdf7MB
99. data mining - practical machine learning tools and techniques (2011).pdf6.94MB
100. an introduction to information retrieval (2009).pdf6.58MB
101. Fusion Of Neural Networks, Fuzzy Systems And Genetic Algorithms - Lakhmi C. Jain , N.M. Martin.pdf6.55MB
102. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms Industrial Applications - Lakhmi C. Jain , N.M. Martin.pdf6.55MB
103. Machine Learning in Computer Vision - N. SEBE.pdf6.51MB
104. Foundations of Statistical Natural Language Processing - Christopher D. Manning.pdf6.51MB
105. Building Machine Learning Systems with Python - Second Edition.pdf6.49MB
106. foundations of statistical language processing (1999).pdf6.34MB
107. convex optimization (2004).pdf6.32MB
108. Computer Modeling and Simulation Techniques for Computer Vision Problems - Ming-Chin Lu.pdf6.09MB
109. Kalman Filtering and Neural Networks - Simon Haykin.pdf5.87MB
110. neural networks for applied sciences and engineering (2006).pdf5.86MB
111. the algorithm design manual (2nd, 2008).pdf5.85MB
112. probability theory - the logic of science (2003).pdf5.81MB
113. Fuzzy Sets And Fuzzy Information Granulation Theory - lotfi Zadeh.pdf5.78MB
114. artificial general intelligence (2007).pdf5.7MB
115. Computational Intelligence In Control - Masoud Mohammadian.pdf5.69MB
116. FRONTIERS OF EVOLUTIONARY COMPUTATION - Anil Menon.pdf5.56MB
117. Recurrent Neural Networks Design And Applications - L.R. Medsker.pdf5.56MB
118. prediction, learning, and games (2006).pdf5.53MB
119. Fuzzy Control Systems Design and Analysis A Linear Matrix Inequality Approach - Kazuo Tanaka, Hua O. Wang.pdf5.37MB
120. Genetic programming Complex adaptive systems - Koza J.R..pdf5.34MB
121. Intelligent Information Integration for the Semantic Web - Ubbo Visser.pdf5.27MB
122. Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering - Nikola Kazabov.pdf5.22MB
123. Simulating Continuous Fuzzy Systems - James J. Buckley.pdf4.89MB
124. mining the social web - analyzing data from facebook, twitter, linkedin and other social media sites (2011).pdf4.81MB
125. Multiagent systems a modern approach to distributed artificial intelligence - Gerhard Weiss.pdf4.63MB
126. Particle Swarm Optimization Methods for Pattern Recognition and Image Processing - Mahamed G. H. Omran.pdf4.59MB
127. Learning Bayesian Networks - Neapolitan R. E..pdf4.58MB
128. pattern recognition and machine learning (2007).pdf4.52MB
129. Data Mining with Computational Intelligence - Lipo Wang , Xiuju Fu.pdf4.5MB
130. Pattern Recognition in Speech and Language Processing - WU CHOU.pdf4.43MB
131. schaum's outline of probability, random variables and random processes (1997).pdf4.43MB
132. Common Lisp the Language, 2nd Edition - Guy L. Steele.pdf4.42MB
133. An Introduction to Pattern Recognition - Michael Alder.pdf4.38MB
134. artificial intelligence for games (2nd, 2009).pdf4.09MB
135. reinforcement learning - an introduction (1998).pdf4.04MB
136. artificial intelligence (luger, 6th, 2008).pdf4.03MB
137. Building Expert Systems in Prolog - Dennis Merritt.pdf3.98MB
138. gaussian processes for machine learning (2005).pdf3.86MB
139. matrix algebra - theory, computations, and applications in statistics (2007).pdf3.83MB
140. Feature Extraction in Computer Vision and Image Processing - Mark S. Nixon.pdf3.82MB
141. Artificial Intelligence and Expert Systems for Engineers - Krishnamoorthy , S. Rajeev.pdf3.65MB
142. Foundations Of Soft Case-based Reasoning - SANKAR K. PAL.pdf3.65MB
143. large-scale inference - empirical bayes methods for estimation, testing, and prediction (2010).pdf3.63MB
144. a field guide to genetic programming (2008).pdf3.59MB
145. Reinforcement Learning An Introduction - Richard S. Sutton , Andrew G. Barto.pdf3.59MB
146. Fuzzy Expert Systems and Fuzzy Reasoning - William Siler.pdf3.55MB
147. introduction to machine learning (alpaydin, 2009).pdf3.52MB
148. FUZZY SETS AND THEIR APPLICATIONS TO COGNITIVE AND DECISION PROCESSES - Lotfi A. Zadeh , King-Sun Fu.pdf3.51MB
149. an introduction to pattern recognition - a matlab approach (2010).pdf3.35MB
150. programming collective intelligence - building smart web 2.0 applications (2007).pdf3.3MB
151. Ontological Semantics - Sergei Nirenburg , Victor Raskin.pdf3.28MB
152. numerical optimization (2nd, 2006).pdf3.25MB
153. RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS Design and Applications - Lakhmi Jain.pdf3.22MB
154. a first look at rigorous probability theory (2nd, 2006).pdf3.12MB
155. kernel methods for pattern analysis (2004).pdf3.02MB
156. Intelligent Systems for Engineers and Scientists 2d ed - Adrian A. Hopgood.pdf3.01MB
157. Statistical Pattern Recognition 2nd Ed - Andrew R. Webb.pdf2.99MB
158. optimization for machine learning (2011).pdf2.98MB
159. An Introduction to Scheme and its Implementation.pdf2.94MB
160. Computational Intelligence For Decision Support - Chen.pdf2.93MB
161. introduction to probability (grinstead and snell, 2006).pdf2.85MB
162. how to prove it - a structured approach (2nd, 2006).pdf2.6MB
163. ensemble methods in data mining (2010).pdf2.6MB
164. Introduction to Machine Learning - Nils J Nilsson.pdf2.57MB
165. ARTIFICIAL INTELLIGENCE and SOFTWARE ENGINEERING Understanding the Promise of the Future - Derek Partridge.pdf2.56MB
166. Simply Scheme Introducing Computer Science 2d ed - Brian Harvey , Matthew Wright.pdf2.54MB
167. Common Lisp - An Interactive Approach - STUART C. SHAPIRO.pdf2.52MB
168. statistics in plain english (3rd, 2010).pdf2.49MB
169. Artificial Neural Networks - Colin Fyfe.pdf2.48MB
170. Concrete Abstractions An Introduction to Computer Science Using Scheme - Max Hailperin, Barbara Kaiser, and Karl Knight.pdf2.47MB
171. Knowledge representation reasoning and declarative problem solving with Answer sets - Chitta Baral.pdf2.46MB
172. Essentials of Programming Languages 2d ed - Daniel P. FriedmanMitchell WandChristopher T. Haynes.pdf2.38MB
173. C++ Neural Networks and Fuzzy Logic - Valluru B. Rao.pdf2.37MB
174. knowledge representation and reasoning (2004).pdf2.29MB
175. Fundamentals of Computer Vision - Mubarak Shah.pdf2.23MB
176. all of nonparametric statistics (2010).pdf2.18MB
177. an introduction to generalized linear models (2nd, 2001).pdf2.07MB
178. Machine Learning, Game Play, and Go - David Stoutamire.pdf1.99MB
179. Logic, Programming and Prolog 2d ed - Ulf Nilsson , Jan Maluszynski.pdf1.91MB
180. ant colony optimization (2004).pdf1.88MB
181. Data Mining Using Grammar Based Genetic Programming and Applications - Wong, Cheung.pdf1.87MB
182. Dynamic Bayesian Networks Representation, Inference And Learning - Kevin Patrick Murphy.pdf1.75MB
183. Agent-Oriented Programming - From Prolog to Guarded Definite Clauses - Matthew M. Huntbach.pdf1.73MB
184. Artificial Intelligence Strategies, Applications, and Models Through Search 2d ed - Christopher Thornton.pdf1.73MB
185. Successful Lisp How to Understand and Use Common Lisp - David B. Lamkins.pdf1.73MB
186. Machine Learning, Neural And Statistical Classification - Cc Taylor.pdf1.72MB
187. Learn Prolog Now! - Patrick Blackburn, Johan Bos , Kristina Striegnitz.pdf1.63MB
188. Formal Syntax and Semantics of Programming Languages - Kenneth Slonneger.pdf1.62MB
189. Programming Neural Networks in Java - JeffHeaton.pdf1.6MB
190. COMPUTATIONAL LINGUISTICSModels, Resources, Applications - Igor A. Bolshakov , Alexander Gelbukh.pdf1.58MB
191. Statistical Machine Learning For Information Retrieval - Adam Berger.pdf1.39MB
192. Fuzzy Logic in Embedded Microcomputers and Control Systems - Walter Banks.pdf1.38MB
193. Natural Language Processing for Online Applications Text Retrieval,Extraction and Categorization - Peter Jackson , Isabelle Moulinier.pdf1.28MB
194. Teach Yourself Scheme in Fixnum Days - Dorai Sitaram.pdf1.28MB
195. An Introduction to Neural Networks - Patrick van der Smagt.pdf1.26MB
196. Practical Artificial Intelligence Programming in Java - Mark Watson.pdf1.22MB
197. A Practical Theory of Programming - Eric C.R. Hehner.pdf1.12MB
198. Artificial Intelligence Through Prolog - Neil C Rowe.pdf1.12MB
199. Common Lisp - A Gentle Introduction To Symbolic Computation - David S. Touretzky.pdf1.09MB
200. learning deep architectures for AI (2009).pdf1.08MB
201. PROBLEM SOLVING WITH REINFORCEMENT LEARNING - Gavin Adrian Rummery.pdf1.08MB
202. On LISP Advanced Techniques for Common LISP - Paul Graham.pdf1.06MB
203. Prolog and Natural Language Analysis - Fernando C. N. Pereira , Stuart M. Shieber.pdf1.06MB
204. An Introduction To Programming In Emacs Lisp, 2Nd Ed - Robert J. Chassell.pdf1.01MB
205. Adventure in Prolog - Amzi.pdf900.17KB
206. pattern recognition and machine learning solutions.pdf883.14KB
207. The International Dictionary Of Artificial Intelligence - William Raynor.pdf813.4KB
208. Writing GNU Emacs Extensions - Bob Glickstein.pdf696.52KB
209. Prolog Programming A First Course - Paul Brna.pdf635.8KB
210. introduction to linear algebra solution manual.pdf590.31KB
211. Basic Lisp Techniques - David J. Cooper.pdf578.24KB
212. matrix cookbook.pdf522.2KB
213. lisp book - Gary D. Knott.pdf461.24KB
214. elements of statistical learning sol1.pdf141.95KB
215. elements of statistical learning sol2.pdf67.68KB
216. How to Design Programs An Introduction to Computing and Programming - Matthias Felleisen.pdf12.64KB