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Titlesort descendingAuthorContent TypePub Date
Hints and the VC Dimension [NECO 5:2]Yaser S. Abu-MostafaArticle1993-03-01
Hot Brain, TheCarl V Gisolfi, Francisco Mora TeruelBook2000-06-09
How Children Learn the Meanings of WordsPaul BloomBook2002-03-07
How the Body Shapes the Way We ThinkRolf Pfeifer, Josh BongardBook2007-05-09
How Tight Are the Vapnik-Chervonenkis Bounds? [NECO 4:2]David Cohn, Gerald TesauroArticle1992-03-01
How to Shift Bias: Lessons from the Baldwin Effect [EVCO 4:3]Peter TurneyArticle1996-09-01
How to Solve the N Bit Encoder Problem with Just Two Hidden Units [NECO 2:4]Leonid KruglyakArticle1990-12-01
Hybrid Reinforcement/Supervised Learning of Dialogue Policies from Fixed Data Se... [COLI 34:4]James Henderson, Oliver Lemon, Kallirroi GeorgilaArticle2008-12-01
Image Segmentation Based on Oscillatory Correlation [NECO 9:4]DeLiang Wang, David TermanArticle1997-05-01
Images, Frames, and Connectionist Hierarchies [NECO 18:10]Peter DayanArticle2006-10-01
Imitation as a Mechanism of Cultural Transmission [ARTL 16:1]Chris Marriott, James Parker, Jörg DenzingerArticle2010-01-01
Imitation in Animals and ArtifactsKerstin Dautenhahn, Chrystopher L. NehanivBook2002-05-21
Improving Generalization for Temporal Difference Learning: The Successor Represe... [NECO 5:4]Peter DayanArticle1993-07-01
In Critical ConditionJerry A. FodorBook2000-01-27
Including Hints in Training Neural Nets [NECO 3:3]Khalid A. Al-Mashouq, Irving S. ReedArticle1991-09-01
Index [NECO 4:6]Article1992-11-01
InductionJohn H. Holland, Keith J. Holyoak, Richard E. Nisbett, Paul ThagardBook1989-03-03
Information Controller to Maximize and Minimize Information [NECO 9:6]Ryotaro KamimuraArticle1997-08-01
Intelligent Behavior in Animals and RobotsDavid Mcfarland, Tom BösserBook1993-09-28
Introduction to Evolutionary Computing [EVCO 12:2]Hugo de GarisArticle2004-06-01
Introduction to Fuzzy Sets, AnWitold Pedrycz, Fernando GomideBook1998-04-10
Introduction to Natural Computation, AnDana H. BallardBook1999-01-22
Introduction to Neural Networks, AnJames A. AndersonBook1995-03-16
Introduction to the Special Issue [EVCO 2:1]Article1994-03-01
Introduction to the Special Issue: Trends in Evolutionary Methods for Program In... [EVCO 5:2]Una-May O'Reilly, Peter J. AngelineArticle1997-06-01
An Invariance Property of Predictors in Kernel-Induced Hypothesis Spaces [NECO 18:4]Nicola Ancona, Sebastiano StramagliaArticle2006-04-01
Is a Learning Classifier System a Type of Neural Network? [EVCO 2:1]Robert E. Smith, H. Brown Cribbs IIIArticle1994-03-01
Kernel Methods for Minimally Supervised WSD [COLI 35:4]Claudio Giuliano, Alfio Massimiliano Gliozzo, Carlo StrapparavaArticle2009-12-01
Kernel Projection Classifiers with Suppressing Features of Other Classes [NECO 18:8]Yoshikazu Washizawa, Yukihiko YamashitaArticle2006-08-01
Knowledge, Concepts, and CategoriesKoen Lamberts, David ShanksBook1997-10-31
Knowledge-Based NeurocomputingIan Cloete, J M. ZuradaBook2000-02-25
Learnability in Optimality TheoryBruce Tesar, Paul SmolenskyBook2000-05-15
Learnability in Optimality Theory [COLI 27:2]Walter DaelemansArticle2001-06-01
Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms wi... [NECO 7:1]Yoshiyuki Kabashima, Shigeru ShinomotoArticle1995-01-01
Learning and Generalization in Radial Basis Function Networks [NECO 7:5]J. A. S. Freeman, D. SaadArticle1995-09-01
Learning Competition and Cooperation [NECO 5:2]Sungzoon Cho, James A. ReggiaArticle1993-03-01
Learning Curves for Error Minimum and Maximum Likelihood Algorithms [NECO 4:5]Y. Kabashima, S. ShinomotoArticle1992-09-01
Learning Factorial Codes by Predictability Minimization [NECO 4:6]Jürgen SchmidhuberArticle1992-11-01
Learning Finite State Machines With Self-Clustering Recurrent Networks [NECO 5:6]Zheng Zeng, Rodney M. Goodman, Padhraic SmythArticle1993-11-01
Learning Linear Threshold Approximations Using Perceptrons [NECO 7:2]Tom BylanderArticle1995-03-01
Learning Long-Distance Phonotactics [LING 41:4]Jeffrey HeinzArticle2010-10-01
Learning Machine Translation [COLI 35:4]Phil BlunsomArticle2009-12-01
Learning Mixture Models of Spatial Coherence [NECO 5:2]Suzanna Becker, Geoffrey E. HintonArticle1993-03-01
Learning Tetris Using the Noisy Cross-Entropy Method [NECO 18:12]István Szita, András LörinczArticle2006-12-01
Learning the Lie Groups of Visual Invariance [NECO 19:10]Xu Miao, Rajesh P. N. RaoArticle2007-10-01
Learning the Unlearnable [NECO 3:4]Dan Nabutovsky, Eytan DomanyArticle1991-12-01
Learning to Generalize from Single Examples in the Dynamic Link Architecture [NECO 5:5]Wolfgang Konen, Christoph von der MalsburgArticle1993-09-01
Learning to Rank Answers to Non-Factoid Questions from Web Collections [COLI 37:2]Mihai Surdeanu, Massimiliano Ciaramita, Hugo ZaragozaArticle2011-06-01
Learning Tractable Word Alignment Models with Complex Constraints [COLI 36:3]João V. Graça, Kuzman Ganchev, Ben TaskarArticle2010-09-01
Learning with “Relevance”: Using a Third Factor to Stabilize Hebbian Learning... [NECO 19:10]Bernd Porr, Florentin WörgötterArticle2007-10-01

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