| Hints and the VC Dimension [NECO 5:2] | Yaser S. Abu-Mostafa | Article | 1993-03-01 |
| Hot Brain, The | Carl V Gisolfi, Francisco Mora Teruel | Book | 2000-06-09 |
| How Children Learn the Meanings of Words | Paul Bloom | Book | 2002-03-07 |
| How the Body Shapes the Way We Think | Rolf Pfeifer, Josh Bongard | Book | 2007-05-09 |
| How Tight Are the Vapnik-Chervonenkis Bounds? [NECO 4:2] | David Cohn, Gerald Tesauro | Article | 1992-03-01 |
| How to Shift Bias: Lessons from the Baldwin Effect [EVCO 4:3] | Peter Turney | Article | 1996-09-01 |
| How to Solve the N Bit Encoder Problem with Just Two Hidden Units [NECO 2:4] | Leonid Kruglyak | Article | 1990-12-01 |
| Hybrid Reinforcement/Supervised Learning of Dialogue Policies from Fixed Data Se... [COLI 34:4] | James Henderson, Oliver Lemon, Kallirroi Georgila | Article | 2008-12-01 |
| Image Segmentation Based on Oscillatory Correlation [NECO 9:4] | DeLiang Wang, David Terman | Article | 1997-05-01 |
| Images, Frames, and Connectionist Hierarchies [NECO 18:10] | Peter Dayan | Article | 2006-10-01 |
| Imitation as a Mechanism of Cultural Transmission [ARTL 16:1] | Chris Marriott, James Parker, Jörg Denzinger | Article | 2010-01-01 |
| Imitation in Animals and Artifacts | Kerstin Dautenhahn, Chrystopher L. Nehaniv | Book | 2002-05-21 |
| Improving Generalization for Temporal Difference Learning: The Successor Represe... [NECO 5:4] | Peter Dayan | Article | 1993-07-01 |
| In Critical Condition | Jerry A. Fodor | Book | 2000-01-27 |
| Including Hints in Training Neural Nets [NECO 3:3] | Khalid A. Al-Mashouq, Irving S. Reed | Article | 1991-09-01 |
| Index [NECO 4:6] | | Article | 1992-11-01 |
| Induction | John H. Holland, Keith J. Holyoak, Keith J. Holyoak, Richard E. Nisbett, Paul Thagard | Book | 1989-03-03 |
| Information Controller to Maximize and Minimize Information [NECO 9:6] | Ryotaro Kamimura | Article | 1997-08-01 |
| Intelligent Behavior in Animals and Robots | David Mcfarland, Tom Bösser | Book | 1993-09-28 |
| Introduction to Evolutionary Computing [EVCO 12:2] | Hugo de Garis | Article | 2004-06-01 |
| Introduction to Fuzzy Sets, An | Witold Pedrycz, Fernando Gomide | Book | 1998-04-10 |
| Introduction to Natural Computation, An | Dana H. Ballard | Book | 1999-01-22 |
| Introduction to Neural Networks, An | James A. Anderson | Book | 1995-03-16 |
| Introduction to the Special Issue [EVCO 2:1] | | Article | 1994-03-01 |
| Introduction to the Special Issue: Trends in Evolutionary Methods for Program In... [EVCO 5:2] | Una-May O'Reilly, Peter J. Angeline | Article | 1997-06-01 |
| An Invariance Property of Predictors in Kernel-Induced Hypothesis Spaces [NECO 18:4] | Nicola Ancona, Sebastiano Stramaglia | Article | 2006-04-01 |
| Is a Learning Classifier System a Type of Neural Network? [EVCO 2:1] | Robert E. Smith, H. Brown Cribbs III | Article | 1994-03-01 |
| Kernel Methods for Minimally Supervised WSD [COLI 35:4] | Claudio Giuliano, Alfio Massimiliano Gliozzo, Carlo Strapparava | Article | 2009-12-01 |
| Kernel Projection Classifiers with Suppressing Features of Other Classes [NECO 18:8] | Yoshikazu Washizawa, Yukihiko Yamashita | Article | 2006-08-01 |
| Knowledge, Concepts, and Categories | Koen Lamberts, David Shanks | Book | 1997-10-31 |
| Knowledge-Based Neurocomputing | Ian Cloete, J M. Zurada | Book | 2000-02-25 |
| Learnability in Optimality Theory | Bruce Tesar, Paul Smolensky | Book | 2000-05-15 |
| Learnability in Optimality Theory [COLI 27:2] | Walter Daelemans | Article | 2001-06-01 |
| Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms wi... [NECO 7:1] | Yoshiyuki Kabashima, Shigeru Shinomoto | Article | 1995-01-01 |
| Learning and Generalization in Radial Basis Function Networks [NECO 7:5] | J. A. S. Freeman, D. Saad | Article | 1995-09-01 |
| Learning Competition and Cooperation [NECO 5:2] | Sungzoon Cho, James A. Reggia | Article | 1993-03-01 |
| Learning Curves for Error Minimum and Maximum Likelihood Algorithms [NECO 4:5] | Y. Kabashima, S. Shinomoto | Article | 1992-09-01 |
| Learning Factorial Codes by Predictability Minimization [NECO 4:6] | Jürgen Schmidhuber | Article | 1992-11-01 |
| Learning Finite State Machines With Self-Clustering Recurrent Networks [NECO 5:6] | Zheng Zeng, Rodney M. Goodman, Padhraic Smyth | Article | 1993-11-01 |
| Learning Linear Threshold Approximations Using Perceptrons [NECO 7:2] | Tom Bylander | Article | 1995-03-01 |
| Learning Long-Distance Phonotactics [LING 41:4] | Jeffrey Heinz | Article | 2010-10-01 |
| Learning Machine Translation [COLI 35:4] | Phil Blunsom | Article | 2009-12-01 |
| Learning Mixture Models of Spatial Coherence [NECO 5:2] | Suzanna Becker, Geoffrey E. Hinton | Article | 1993-03-01 |
| Learning Tetris Using the Noisy Cross-Entropy Method [NECO 18:12] | István Szita, András Lörincz | Article | 2006-12-01 |
| Learning the Lie Groups of Visual Invariance [NECO 19:10] | Xu Miao, Rajesh P. N. Rao | Article | 2007-10-01 |
| Learning the Unlearnable [NECO 3:4] | Dan Nabutovsky, Eytan Domany | Article | 1991-12-01 |
| Learning to Generalize from Single Examples in the Dynamic Link Architecture [NECO 5:5] | Wolfgang Konen, Christoph von der Malsburg | Article | 1993-09-01 |
| Learning to Rank Answers to Non-Factoid Questions from Web Collections [COLI 37:2] | Mihai Surdeanu, Massimiliano Ciaramita, Hugo Zaragoza | Article | 2011-06-01 |
| Learning Tractable Word Alignment Models with Complex Constraints [COLI 36:3] | João V. Graça, Kuzman Ganchev, Ben Taskar | Article | 2010-09-01 |
| Learning with “Relevance”: Using a Third Factor to Stabilize Hebbian Learning... [NECO 19:10] | Bernd Porr, Florentin Wörgötter | Article | 2007-10-01 |
