Neural Computation 7:1

[Terry Sejnowski]

NEURAL COMPUTATION
Volume 7, January, 1995

View:

On Neural Circuits and Cognition
Michael S. Gazzaniga

Notes:

The EM Algorithm and Information Geometry in Neural Network Learning
Shun-ichi Amari

Convergence Theorems for Hybrid Learning Rules
Michael Benaim

Letters:

A Type of Duality between Self-organizing Maps and Minimal Wiring

Graeme Mitchison

Development of Oriented Ocular Dominance Bands as a Consequence of Areal
Geometry
Hans-Ulrich Bauer

A Multiple Cause Mixture Model for Unsupervised Learning
Eric Saund

Similarity Metric Learning for a Variable-Kernel Classifier
David G. Lowe

Unsupervised Mutual Information Criterion for Elimination of Overtraining
in Supervised Multilayer Networks
G. Deco, W. Finnoff and H. G. Zimmerman

Training with Noise is Equivalent to Tikhonov Regularization
Chris M. Bishop

Bayesian Regularization and Pruning using a Laplace Prior
Peter M. Williams

Empirical Risk Minimization Versus Maximum-Likelihood Estimation:  A Case Study
Ronny Meir

Learning a Decision Boundary from Stochastic Examples: Incremental
Algorithms with and without Queries
Yoshiyuki Kabashima and Shigeru Shinomoto

Arithmetic Perceptrons
Sergio A. Cannas

Compensatory Mechanisms in an attractor Neural Network Model of Schizophrenia
D. Horn and E. Ruppin

Real-time Control of a Tokamak Plasma Using Neural Networks
Chris M. Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd and David L.
Trotman

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