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Neural Computation, Volume 07 (1995) by MIT Press is a nonfiction available to read on EtoBox.

What is Neural Computation, Volume 07 (1995) about?

Volume 7, Issue 1 - January 1995......Page 1 On Neural Circuits and Cognition......Page 2 The EM Algorithm and Information Geometry in Neural Network Learning......Page 15 Convergence Theorems for Hybrid Learning Rules......Page 22 A Type of Duality between Self-Organizing Maps and Minimal Wiring......Page 28 Development of Oriented Ocular Dominance Bands as a Consequence of Areal Geometry......Page 40 A Multiple Cause Mixture Model for Unsupervised Learning......Page 56 Similarity Metric Learning for a Variable-Kernel Classifier......Page 79 Unsupervised Mutual Information Criterion for Elimination of Overtraining in Supervised Multilayer Networks......Page 102 Training with Noise is Equivalent to Tikhonov Regularization......Page 118 Bayesian Regularization and Pruning Using a Laplace Prior......Page 158 Empirical Risk Minimization versus Maximum-Likelihood Estimation: A Case Study......Page 188 Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms with and without Queries......Page 203 Arithmetic Perceptrons......Page 219 Compensatory Mechanisms in an Attractor Neural Network Model of Schizophrenia......Page 253 Decorrelated Hebbian Learning for Clusterin

Who reads Neural Computation, Volume 07 (1995)?

Author

MIT Press

Publisher

MIT Press

Published

1995

Language

EN

Category

nonfiction