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Issues

Volume 7, Issue 1
January 1995
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All Issues
ISSN 0899-7667
EISSN 1530-888X
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On Neural Circuits and Cognition
Michael S. Gazzaniga
Neural Computation (1995) 7 (1): 1–12.
View articletitled, On Neural Circuits and Cognition
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Notes

The EM Algorithm and Information Geometry in Neural Network Learning
Shun-ichi Amari
Neural Computation (1995) 7 (1): 13–18.
View articletitled, The EM Algorithm and Information Geometry in Neural Network Learning
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Convergence Theorems for Hybrid Learning Rules
Michel Benaim
Neural Computation (1995) 7 (1): 19–24.
View articletitled, Convergence Theorems for Hybrid Learning Rules
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Letters

A Type of Duality between Self-Organizing Maps and Minimal Wiring
Graeme Mitchison
Neural Computation (1995) 7 (1): 25–35.
View articletitled, A Type of Duality between Self-Organizing Maps and Minimal Wiring
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Development of Oriented Ocular Dominance Bands as a Consequence of Areal Geometry
H.-U. Bauer
Neural Computation (1995) 7 (1): 36–50.
View articletitled, Development of Oriented Ocular Dominance Bands as a Consequence of Areal Geometry
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A Multiple Cause Mixture Model for Unsupervised Learning
Eric Saund
Neural Computation (1995) 7 (1): 51–71.
View articletitled, A Multiple Cause Mixture Model for Unsupervised Learning
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Similarity Metric Learning for a Variable-Kernel Classifier
David G. Lowe
Neural Computation (1995) 7 (1): 72–85.
View articletitled, Similarity Metric Learning for a Variable-Kernel Classifier
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Unsupervised Mutual Information Criterion for Elimination of Overtraining in Supervised Multilayer Networks
G. Deco, W. Finnoff, H. G. Zimmermann
Neural Computation (1995) 7 (1): 86–107.
View articletitled, Unsupervised Mutual Information Criterion for Elimination of Overtraining in Supervised Multilayer Networks
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Training with Noise is Equivalent to Tikhonov Regularization
Chris M. Bishop
Neural Computation (1995) 7 (1): 108–116.
View articletitled, Training with Noise is Equivalent to Tikhonov Regularization
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Bayesian Regularization and Pruning Using a Laplace Prior
Peter M. Williams
Neural Computation (1995) 7 (1): 117–143.
View articletitled, Bayesian Regularization and Pruning Using a Laplace Prior
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Empirical Risk Minimization versus Maximum-Likelihood Estimation: A Case Study
Ronny Meir
Neural Computation (1995) 7 (1): 144–157.
View articletitled, Empirical Risk Minimization versus Maximum-Likelihood Estimation: A Case Study
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Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms with and without Queries
Yoshiyuki Kabashima, Shigeru Shinomoto
Neural Computation (1995) 7 (1): 158–172.
View articletitled, Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms with and without Queries
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Arithmetic Perceptrons
Sergio A. Cannas
Neural Computation (1995) 7 (1): 173–181.
View articletitled, Arithmetic Perceptrons
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Compensatory Mechanisms in an Attractor Neural Network Model of Schizophrenia
D. Horn, E. Ruppin
Neural Computation (1995) 7 (1): 182–205.
View articletitled, Compensatory Mechanisms in an Attractor Neural Network Model of Schizophrenia
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Real-Time Control of a Tokamak Plasma Using Neural Networks
Chris M. Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman
Neural Computation (1995) 7 (1): 206–217.
View articletitled, Real-Time Control of a Tokamak Plasma Using Neural Networks
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  • Online ISSN 1530-888X
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