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Volume 7, Issue 5

September 1995

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ISSN 0899-7667

EISSN 1530-888X

In this Issue

Review
Letters

Review

Methods For Combining Experts' Probability Assessments

Robert A. Jacobs

Neural Computation (1995) 7 (5): 867–888.

Abstract

View articletitled, Methods For Combining Experts' Probability Assessments

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Letters

The Helmholtz Machine

Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel

Neural Computation (1995) 7 (5): 889–904.

Abstract

View articletitled, The Helmholtz Machine

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Spontaneous Excitations in the Visual Cortex: Stripes, Spirals, Rings, and Collective Bursts

Corinna Fohlmeister, Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen

Neural Computation (1995) 7 (5): 905–914.

Abstract

View articletitled, Spontaneous Excitations in the Visual Cortex: Stripes, Spirals, Rings, and Collective Bursts

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Time-Domain Solutions of Oja's Equations

J. L. Wyatt, Jr., I. M. Elfadel

Neural Computation (1995) 7 (5): 915–922.

Abstract

View articletitled, Time-Domain Solutions of Oja's Equations

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Learning the Initial State of a Second-Order Recurrent Neural Network during Regular-Language Inference

Mikel L. Forcada, Rafael C. Carrasco

Neural Computation (1995) 7 (5): 923–930.

Abstract

View articletitled, Learning the Initial State of a Second-Order Recurrent Neural Network during Regular-Language Inference

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An Algebraic Framework to Represent Finite State Machines in Single-Layer Recurrent Neural Networks

R. Alquézar, A. Sanfeliu

Neural Computation (1995) 7 (5): 931–949.

Abstract

View articletitled, An Algebraic Framework to Represent Finite State Machines in Single-Layer Recurrent Neural Networks

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Local and Global Optimization Algorithms for Generalized Learning Automata

V. V. Phansalkar, M. A. L. Thathachar

Neural Computation (1995) 7 (5): 950–973.

Abstract

View articletitled, Local and Global Optimization Algorithms for Generalized Learning Automata

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From Data Distributions to Regularization in Invariant Learning

Todd K. Leen

Neural Computation (1995) 7 (5): 974–981.

Abstract

View articletitled, From Data Distributions to Regularization in Invariant Learning

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Initializing Weights of a Multilayer Perceptron Network by Using the Orthogonal Least Squares Algorithm

Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski, Pentti Huuhtanen

Neural Computation (1995) 7 (5): 982–999.

Abstract

View articletitled, Initializing Weights of a Multilayer Perceptron Network by Using the Orthogonal Least Squares Algorithm

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Learning and Generalization in Radial Basis Function Networks

J. A. S. Freeman, D. Saad

Neural Computation (1995) 7 (5): 1000–1020.

Abstract

View articletitled, Learning and Generalization in Radial Basis Function Networks

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Precision and Approximate Flatness in Artificial Neural Networks

Maxwell B. Stinchcombe

Neural Computation (1995) 7 (5): 1021–1039.

Abstract

View articletitled, Precision and Approximate Flatness in Artificial Neural Networks

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Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes

Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson

Neural Computation (1995) 7 (5): 1040–1053.

Abstract

View articletitled, Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes

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Agnostic PAC Learning of Functions on Analog Neural Nets

Wolfgang Maass

Neural Computation (1995) 7 (5): 1054–1078.

Abstract

View articletitled, Agnostic PAC Learning of Functions on Analog Neural Nets

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Convex Potentials and their Conjugates in Analog Mean-Field Optimization

I. M. Elfadel

Neural Computation (1995) 7 (5): 1079–1104.

Abstract

View articletitled, Convex Potentials and their Conjugates in Analog Mean-Field Optimization

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Patterns of Functional Damage in Neural Network Models of Associative Memory

Eytan Ruppin, James A. Reggia

Neural Computation (1995) 7 (5): 1105–1127.

Abstract

View articletitled, Patterns of Functional Damage in Neural Network Models of Associative Memory

Review

Methods For Combining Experts' Probability Assessments

Letters

The Helmholtz Machine

Spontaneous Excitations in the Visual Cortex: Stripes, Spirals, Rings, and Collective Bursts

Time-Domain Solutions of Oja's Equations

Learning the Initial State of a Second-Order Recurrent Neural Network during Regular-Language Inference

An Algebraic Framework to Represent Finite State Machines in Single-Layer Recurrent Neural Networks

Local and Global Optimization Algorithms for Generalized Learning Automata

From Data Distributions to Regularization in Invariant Learning

Initializing Weights of a Multilayer Perceptron Network by Using the Orthogonal Least Squares Algorithm

Learning and Generalization in Radial Basis Function Networks

Precision and Approximate Flatness in Artificial Neural Networks

Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes

Agnostic PAC Learning of Functions on Analog Neural Nets

Convex Potentials and their Conjugates in Analog Mean-Field Optimization

Patterns of Functional Damage in Neural Network Models of Associative Memory

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