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Titlesort descendingAuthorContent TypePub Date
Second-Order SMO Improves SVM Online and Active Learning [NECO 20:2]Tobias Glasmachers, Christian IgelArticle2008-02-01
SEEMORE: Combining Color, Shape, and Texture Histogramming in a Neurally Inspire... [NECO 9:4]Bartlett W. MelArticle1997-05-01
Self-Organizing Maps with Asymmetric Neighborhood Function [NECO 19:9]Takaaki Aoki, Toshio AoyagiArticle2007-09-01
Semilinear Predictability Minimization Produces Well-Known Feature Detectors [NECO 8:4]Jürgen Schmidhuber, Martin Eldracher, Bernhard FoltinArticle1996-05-01
Sensitivity Derivatives for Flexible Sensorimotor Learning [NECO 20:8]M. N. Abdelghani, T. P. Lillicrap, D. B. TweedArticle2008-08-01
Similarity Metric Learning for a Variable-Kernel Classifier [NECO 7:1]David G. LoweArticle1995-01-01
A Simple Competitive Account of Some Response Properties of Visual Neurons in Ar... [NECO 7:2]Ruye WangArticle1995-03-01
A Simplified Neural-Network Solution through Problem Decomposition: The Case of ... [NECO 4:5]Robert E. Jenkins, Ben P. YuhasArticle1992-09-01
An SMO Algorithm for the Potential Support Vector Machine [NECO 20:1]Tilman Knebel, Sepp Hochreiter, Klaus ObermayerArticle2008-01-01
Statistical Theory of Learning Curves under Entropic Loss Criterion [NECO 5:1]Shun-ichi Amari, Noboru MurataArticle1993-01-01
Stimulus Representation and the Timing of Reward-Prediction Errors in Models of ... [NECO 20:12]Elliot A. Ludvig, Richard S. Sutton, E. James KehoeArticle2008-12-01
A Study of Structural and Parametric Learning in XCS [EVCO 14:1]Tim Kovacs, Manfred KerberArticle2006-03-01
Supervised Factorial Learning [NECO 5:5]A. Norman RedlichArticle1993-09-01
TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play [NECO 6:2]Gerald TesauroArticle1994-03-01
Transductive Methods for the Distributed Ensemble Classification Problem [NECO 19:3]David J. Miller, Siddharth PalArticle2007-03-01
A Type of Duality between Self-Organizing Maps and Minimal Wiring [NECO 7:1]Graeme MitchisonArticle1995-01-01
Unsupervised Mutual Information Criterion for Elimination of Overtraining in Sup... [NECO 7:1]G. Deco, W. Finnoff, H. G. ZimmermannArticle1995-01-01
The Upstart Algorithm: A Method for Constructing and Training Feedforward Neural... [NECO 2:2]Marcus FreanArticle1990-06-01
The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning [NECO 1:3]Yaser S. Abu-MostafaArticle1989-09-01
Weight Perturbation: An Optimal Architecture and Learning Technique for Analog V... [NECO 3:4]Marwan Jabri, Barry FlowerArticle1991-12-01
What Size Net Gives Valid Generalization? [NECO 1:1]Eric B. Baum, David HausslerArticle1989-03-01

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