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TitleAuthorsort ascendingContent TypePub Date
Advances in Kernel MethodsChristopher J.C. Burges, Bernhard Schölkopf, Alexander J. SmolaBook1998-12-17
Complexity Optimized Data Clustering by Competitive Neural Networks [NECO 5:1]Joachim Buhmann, Hans KühnelArticle1993-01-01
Sorting with Self-Organizing Maps [NECO 7:6]Marco BudinichArticle1995-11-01
Dynamic Cell Structure Learns Perfectly Topology Preserving Map [NECO 7:4]Jörg Bruske, Gerald SommerArticle1995-07-01
Artificial Life IVRodney A. Brooks, Pattie MaesBook1994-09-13
Cambrian IntelligenceRodney A. BrooksBook1999-07-02
Designing Sociable RobotsCynthia BreazealBook2004-09-01
Working Memory Networks for Learning Temporal Order with Application to Three-Di... [NECO 4:2]Gary Bradski, Gail A. Carpenter, Stephen GrossbergArticle1992-03-01
Local Learning Algorithms [NECO 4:6]Léon Bottou, Vladimir VapnikArticle1992-11-01
Reducing the Variability of Neural Responses: A Computational Theory of Spike-Ti... [NECO 19:2]Sander M. Bohte, Michael C. MozerArticle2007-02-01
Some Correct Error-Driven Versions of the Constraint Demotion Algorithm [LING 40:4]Paul BoersmaArticle2009-10-01
Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-One-Out Cros... [NECO 18:4]Liefeng Bo, Ling Wang, Licheng JiaoArticle2006-04-01
Recursive Finite Newton Algorithm for Support Vector Regression in the Primal [NECO 19:4]Liefeng Bo, Ling Wang, Licheng JiaoArticle2007-04-01
Learning Machine Translation [COLI 35:4]Phil BlunsomArticle2009-12-01
How Children Learn the Meanings of WordsPaul BloomBook2002-03-07
LeRec: A NN/HMM Hybrid for On-Line Handwriting Recognition [NECO 7:6]Yoshua Bengio, Yann LeCun, Craig Nohl, Chris BurgesArticle1995-11-01
Nonlocal Estimation of Manifold Structure [NECO 18:10]Yoshua Bengio, Martin Monperrus, Hugo LarochelleArticle2006-10-01
Convergence Theorems for Hybrid Learning Rules [NECO 7:1]Michel BenaimArticle1995-01-01
Learning Mixture Models of Spatial Coherence [NECO 5:2]Suzanna Becker, Geoffrey E. HintonArticle1993-03-01
Bootstrapping Confidence Intervals for Clinical Input Variable Effects in a Netw... [NECO 7:3]William G. Baxt, Halbert WhiteArticle1995-05-01
What Is Thought?Eric B. BaumBook2006-03-01
A Proposal for More Powerful Learning Algorithms [NECO 1:2]Eric B. BaumArticle1989-06-01
The Perceptron Algorithm is Fast for Nonmalicious Distributions [NECO 2:2]Eric B. BaumArticle1990-06-01
Rethinking InnatenessElizabeth Bates, Jeffrey Elman, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, Kim PlunkettBook1997-11-28
Modeling the Evolution of Motivation [EVCO 4:3]John Batali, William Noble GrundyArticle1996-09-01
Online Adaptive Decision Trees: Pattern Classification and Function Approximatio... [NECO 18:9]Jayanta BasakArticle2006-09-01
Vapnik-Chervonenkis Dimension Bounds for Two- and Three-Layer Networks [NECO 5:3]Peter L. BartlettArticle1993-05-01
Test Error Fluctuations in Finite Linear Perceptrons [NECO 7:4]D. Barber, D. Saad, P. SollichArticle1995-07-01
Does Extra Knowledge Necessarily Improve Generalization? [NECO 8:1]David Barber, David SaadArticle1996-01-01
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule [NECO 19:8]Dorit Baras, Ron MeirArticle2007-08-01
Introduction to Natural Computation, AnDana H. BallardBook1999-01-22
Smooth On-Line Learning Algorithms for Hidden Markov Models [NECO 6:2]Pierre Baldi, Yves ChauvinArticle1994-03-01
Using Learning to Facilitate the Evolution of Features for Recognizing Visual Co... [EVCO 4:3]J. Bala, K. De Jong, J. Huang, H. Vafaie, H. WechslerArticle1996-09-01
FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling [NECO 3:3]A. D. Back, A. C. TsoiArticle1991-09-01
Performance and Efficiency of Memetic Pittsburgh Learning Classifier Systems [EVCO 17:3]Jaume Bacardit, Natalio KrasnogorArticle2009-09-01
Blind Source Separation and Deconvolution: The Dynamic Component Analysis Algori... [NECO 10:6]H. Attias, C. E. SchreinerArticle1998-08-01
Convergent Algorithm for Sensory Receptive Field Development [NECO 5:1]Joseph J. Atick, A. Norman RedlichArticle1993-01-01
Directional Filling-in [NECO 8:2]Karl Frederick ArringtonArticle1996-02-01
The Handbook of Brain Theory and Neural Networks, Second EditionMichael A. ArbibReference Work2002
Vision, Brain, and Cooperative ComputationMichael A. Arbib, Allen R. HansonBook1990-01-24
Self-Organizing Maps with Asymmetric Neighborhood Function [NECO 19:9]Takaaki Aoki, Toshio AoyagiArticle2007-09-01
Introduction to Neural Networks, AnJames A. AndersonBook1995-03-16
An Invariance Property of Predictors in Kernel-Induced Hypothesis Spaces [NECO 18:4]Nicola Ancona, Sebastiano StramagliaArticle2006-04-01
Four Types of Learning Curves [NECO 4:4]Shun-ichi Amari, Naotake Fujita, Shigeru ShinomotoArticle1992-07-01
Statistical Theory of Learning Curves under Entropic Loss Criterion [NECO 5:1]Shun-ichi Amari, Noboru MurataArticle1993-01-01
Including Hints in Training Neural Nets [NECO 3:3]Khalid A. Al-Mashouq, Irving S. ReedArticle1991-09-01
The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning [NECO 1:3]Yaser S. Abu-MostafaArticle1989-09-01
Hints and the VC Dimension [NECO 5:2]Yaser S. Abu-MostafaArticle1993-03-01
Hints [NECO 7:4]Yaser S. Abu-MostafaArticle1995-07-01
Sensitivity Derivatives for Flexible Sensorimotor Learning [NECO 20:8]M. N. Abdelghani, T. P. Lillicrap, D. B. TweedArticle2008-08-01

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