Results 201 - 250 of 367
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Titlesort ascendingAuthorContent TypePub Date
InductionJohn H. Holland, Keith J. Holyoak, Richard E. Nisbett, Paul ThagardBook1989-03-03
Index [NECO 4:6]Article1992-11-01
Including Hints in Training Neural Nets [NECO 3:3]Khalid A. Al-Mashouq, Irving S. ReedArticle1991-09-01
In Critical ConditionJerry A. FodorBook2000-01-27
Improving Generalization for Temporal Difference Learning: The Successor Represe... [NECO 5:4]Peter DayanArticle1993-07-01
Imitation in Animals and ArtifactsKerstin Dautenhahn, Chrystopher L. NehanivBook2002-05-21
Imitation as a Mechanism of Cultural Transmission [ARTL 16:1]Chris Marriott, James Parker, Jörg DenzingerArticle2010-01-01
Images, Frames, and Connectionist Hierarchies [NECO 18:10]Peter DayanArticle2006-10-01
Image Segmentation Based on Oscillatory Correlation [NECO 9:4]DeLiang Wang, David TermanArticle1997-05-01
Hybrid Reinforcement/Supervised Learning of Dialogue Policies from Fixed Data Se... [COLI 34:4]James Henderson, Oliver Lemon, Kallirroi GeorgilaArticle2008-12-01
How to Solve the N Bit Encoder Problem with Just Two Hidden Units [NECO 2:4]Leonid KruglyakArticle1990-12-01
How to Shift Bias: Lessons from the Baldwin Effect [EVCO 4:3]Peter TurneyArticle1996-09-01
How Tight Are the Vapnik-Chervonenkis Bounds? [NECO 4:2]David Cohn, Gerald TesauroArticle1992-03-01
How the Body Shapes the Way We ThinkRolf Pfeifer, Josh BongardBook2007-05-09
How Children Learn the Meanings of WordsPaul BloomBook2002-03-07
Hot Brain, TheCarl V Gisolfi, Francisco Mora TeruelBook2000-06-09
Hints and the VC Dimension [NECO 5:2]Yaser S. Abu-MostafaArticle1993-03-01
Hints [NECO 7:4]Yaser S. Abu-MostafaArticle1995-07-01
High-Level Motion ProcessingTakeo WatanabeBook1998-10-20
Hierarchical Mixtures of Experts and the EM Algorithm [NECO 6:2]Michael I. Jordan, Robert A. JacobsArticle1994-03-01
The Helmholtz Machine [NECO 7:5]Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. ZemelArticle1995-09-01
The Handbook of Brain Theory and Neural Networks, Second EditionMichael A. ArbibReference Work2002
HAL's LegacyDaniel C. Dennett, Ravi Iyer, David Kuck, Raymond Kurzweil, Doug Lenat, Joseph Olive, Rosalind W. Picard, Azriel Rosenfeld, Roger Schank, David G. Stork, David WilkinsBook1998-02-06
Graphical Models for Machine Learning and Digital CommunicationBrendan J. FreyBook1998-06-26
A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its ... [EVCO 15:3]Shingo Mabu, Kotaro Hirasawa, Jinglu HuArticle2007-09-01
Gradual Learning and Convergence [LING 39:2]Joe PaterArticle2008-04-01
Goal-Driven LearningAshwin Ram, David LeakeBook1995-08-30
Global NetworksLinda M. HarasimBook1993-08-02
Genetic Programming IV: Proceedings of the Fourth Annual Conference on Evolution... [ARTL 3:4]Ikuo YoshiharaArticle1997-10-01
Genetic Programming II: Automatic Discovery of Reusable Programs. [ARTL 1:4]Una-May O'ReillyArticle1994-07-01
Genetic Programming 1996John R. Koza, David E. Goldberg, David B. Fogel, Rick L. RioloBook1996-07-08
Genetic and Non-Genetic Operators in ALECSYS [EVCO 1:2]Marco DorigoArticle1993-06-01
Genetic Algorithms and Artificial Life [ARTL 1:3]Melanie Mitchell, Stephanie ForrestArticle1994-04-01
A Generic Multi-dimensional Feature Extraction Method Using Multiobjective Genet... [EVCO 17:1]Yang Zhang, Peter I. RockettArticle2009-03-01
Generalizing Smoothness Constraints from Discrete Samples [NECO 2:2]Chuanyi Ji, Robert R. Snapp, Demetri PsaltisArticle1990-06-01
A Generalized Divergence Measure for Nonnegative Matrix Factorization [NECO 19:3]Raul KompassArticle2007-03-01
Generalized Deformable Models, Statistical Physics, and Matching Problems [NECO 2:1]Alan L. YuilleArticle1990-03-01
Generalization in the XCSF Classifier System: Analysis, Improvement, and Extensi... [EVCO 15:2]Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. GoldbergArticle2007-06-01
GA-List and EC-Related Activities [EVCO 1:2]Article1993-06-01
GA-List and EC-Related Activities [EVCO 1:1]Article1993-03-01
From Molecule to MetaphorJerome FeldmanBook2006-06-02
From Annotator Agreement to Noise Models [COLI 35:4]Beata Beigman Klebanov, Eyal BeigmanArticle2009-12-01
From Animals to Animats 6Jean-Arcady Meyer, Alain Berthoz, Dario Floreano, Herbert L. Roitblat, Stewart W. WilsonBook2000-08-21
From Animals to Animats 2Jean-Arcady Meyer, Herbert L. Roitblat, Stewart W. WilsonBook1993-04-13
From Animals to Animats 3David Cliff, Phil Husbands, Jean-Arcady Meyer, Stewart W. WilsonBook1994-07-27
Free-Lunch Learning: Modeling Spontaneous Recovery of Memory [NECO 19:1]J. V. Stone, P. E. JuppArticle2007-01-01
Fred Jelinek [COLI 36:4]Mark LibermanArticle2010-12-01
Four Types of Learning Curves [NECO 4:4]Shun-ichi Amari, Naotake Fujita, Shigeru ShinomotoArticle1992-07-01
Foundations of Neural Networks, Fuzzy Systems, and Knowledge EngineeringNikola KasabovBook1996-10-11
Foundations of Cognitive Science, TheMichael I. PosnerBook1993-08-23

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