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Titlesort descendingAuthorContent TypePub Date
A Practical Bayesian Framework for Backpropagation Networks [NECO 4:3]David J. C. MacKayArticle1992-05-01
Pruning from Adaptive Regularization [NECO 6:6]Lars Kai Hansen, Carl Edward RasmussenArticle1994-11-01
A Recurrent Network Implementation of Time Series Classification [NECO 8:2]Vassilios Petridis, Athanasios KehagiasArticle1996-02-01
Regularization Theory and Neural Networks Architectures [NECO 7:2]Federico Girosi, Michael Jones, Tomaso PoggioArticle1995-03-01
Representations of Space and Time in the Maximization of Information Flow in the... [NECO 19:9]Alexander S. Klyubin, Daniel Polani, Chrystopher L. NehanivArticle2007-09-01
Robust L1 Principal Component Analysis and Its Bayesian Variational Inference [NECO 20:2]Junbin GaoArticle2008-02-01
Rule-Based Neural Networks for Classification and Probability Estimation [NECO 4:6]Rodney M. Goodman, Charles M. Higgins, John W. Miller, Padhraic SmythArticle1992-11-01
Simultaneous Approximations of Polynomials and Derivatives and Their Application... [NECO 20:11]Yoshifusa ItoArticle2008-11-01
Statistical Physics, Mixtures of Distributions, and the EM Algorithm [NECO 6:2]Alan L. Yuille, Paul Stolorz, Joachim UtansArticle1994-03-01
Transductive Methods for the Distributed Ensemble Classification Problem [NECO 19:3]David J. Miller, Siddharth PalArticle2007-03-01
Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors [NECO 18:8]Mark Girolami, Simon RogersArticle2006-08-01

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