Biased learning in Boolean perceptrons
- 1 June 1992
- journal article
- Published by Elsevier in Physica A: Statistical Mechanics and its Applications
- Vol. 185 (1-4) , 411-416
- https://doi.org/10.1016/0378-4371(92)90482-6
Abstract
No abstract availableThis publication has 8 references indexed in Scilit:
- Learning and retrieval in attractor neural networks above saturationJournal of Physics A: General Physics, 1991
- Improving a Network Generalization Ability by Selecting ExamplesEurophysics Letters, 1990
- On the ability of the optimal perceptron to generaliseJournal of Physics A: General Physics, 1990
- First-order transition to perfect generalization in a neural network with binary synapsesPhysical Review A, 1990
- Optimal learning in neural network memoriesJournal of Physics A: General Physics, 1989
- Linear and Nonlinear Extension of the Pseudo-Inverse Solution for Learning Boolean FunctionsEurophysics Letters, 1989
- The Hebb Rule for Learning Linearly Separable Boolean Functions: Learning and GeneralizationEurophysics Letters, 1989
- A theory of the learnableCommunications of the ACM, 1984