Skip to Main Content

Advertisement

Umbrella Alt Text
header search
Search
Advanced Search
Skip Nav Destination

Issues

Volume 4, Issue 6
November 1992
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Articles

Rule-Based Neural Networks for Classification and Probability Estimation
Rodney M. Goodman, Charles M. Higgins, John W. Miller, Padhraic Smyth
Neural Computation (1992) 4 (6): 781–804.
View articletitled, Rule-Based Neural Networks for Classification and Probability Estimation
Open the PDF for in another window
Complex Scheduling with Potts Neural Networks
Lars Gislén, Carsten Peterson, Bo Söderberg
Neural Computation (1992) 4 (6): 805–831.
View articletitled, Complex Scheduling with Potts Neural Networks
Open the PDF for in another window

Notes

Asymmetric Parallel Boltzmann Machines are Belief Networks
Radford M. Neal
Neural Computation (1992) 4 (6): 832–834.
View articletitled, Asymmetric Parallel Boltzmann Machines are Belief Networks
Open the PDF for in another window
Factoring Networks by a Statistical Method
Nelson Morgan, Hervé Bourlard
Neural Computation (1992) 4 (6): 835–838.
View articletitled, Factoring Networks by a Statistical Method
Open the PDF for in another window

Letters

Maximum Entropy and Learning Theory
Griff L. Bilbro, David E. Van den Bout
Neural Computation (1992) 4 (6): 839–853.
View articletitled, Maximum Entropy and Learning Theory
Open the PDF for in another window
Tight Bounds on Transition to Perfect Generalization in Perceptrons
Yuh-Dauh Lyuu, Igor Rivin
Neural Computation (1992) 4 (6): 854–862.
View articletitled, Tight Bounds on Transition to Perfect Generalization in Perceptrons
Open the PDF for in another window
Learning Factorial Codes by Predictability Minimization
Jürgen Schmidhuber
Neural Computation (1992) 4 (6): 863–879.
View articletitled, Learning Factorial Codes by Predictability Minimization
Open the PDF for in another window
How to Incorporate New Pattern Pairs without Having to Teach the Previously Acquired Pattern Pairs
H. M. Wabgaonkar, A. R. Stubberud
Neural Computation (1992) 4 (6): 880–887.
View articletitled, How to Incorporate New Pattern Pairs without Having to Teach the Previously Acquired Pattern Pairs
Open the PDF for in another window
Local Learning Algorithms
Léon Bottou, Vladimir Vapnik
Neural Computation (1992) 4 (6): 888–900.
View articletitled, Local Learning Algorithms
Open the PDF for in another window
Object Discrimination Based on Depth-from-Occlusion
Leif H. Finkel, Paul Sajda
Neural Computation (1992) 4 (6): 901–921.
View articletitled, Object Discrimination Based on Depth-from-Occlusion
Open the PDF for in another window
An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons
Andrew D. Back, Ah Chung Tsoi
Neural Computation (1992) 4 (6): 922–931.
View articletitled, An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons
Open the PDF for in another window
A Model Circuit for Cortical Temporal Low-Pass Filtering
R. Maex, G. A. Orban
Neural Computation (1992) 4 (6): 932–945.
View articletitled, A Model Circuit for Cortical Temporal Low-Pass Filtering
Open the PDF for in another window
A "Thermal" Perceptron Learning Rule
Marcus Frean
Neural Computation (1992) 4 (6): 946–957.
View articletitled, A "Thermal" Perceptron Learning Rule
Open the PDF for in another window
Acknowledgment to Reviewers
Neural Computation (1992) 4 (6): 958–960.
View articletitled, Acknowledgment to Reviewers
Open the PDF for in another window
Index
Neural Computation (1992) 4 (6): 961–969.
View articletitled, Index
Open the PDF for in another window

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal

Advertisement

Advertisement

  • Online ISSN 1530-888X
  • Print ISSN 0899-7667
A product of The MIT Press
Newsletter Sign Up

MIT Press Direct

Information

MIT Press

Contact Us

© 2023 The MIT Press
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy. No content on this site may be used to train artificial intelligence systems without permission in writing from the MIT Press.
Accept