On the generalization ability of diluted perceptrons

P. Kuhlmann; K. R. Muller

doi:10.1088/0305-4470/27/11/026

On the generalization ability of diluted perceptrons

P. Kuhlmann, K. R. Muller

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

A linearly separable Boolean function is teamed by a diluted perceptron with optimal stability. A different level of dilution is allowed for teacher and student perceptron. The learning algorithms used were the optimal annealed dilution and Hebbian dilution. The generalization ability, i.e. the probability to recognize a pattern which has not been learned before, is calculated in replica symmetry.

Original language	English
Article number	026
Pages (from-to)	3759-3774
Number of pages	16
Journal	Journal of Physics A: Mathematical and General
Volume	27
Issue number	11
DOIs	https://doi.org/10.1088/0305-4470/27/11/026
Publication status	Published - 1994

ASJC Scopus subject areas

Statistical and Nonlinear Physics
Mathematical Physics
General Physics and Astronomy

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10.1088/0305-4470/27/11/026

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abstract = "A linearly separable Boolean function is teamed by a diluted perceptron with optimal stability. A different level of dilution is allowed for teacher and student perceptron. The learning algorithms used were the optimal annealed dilution and Hebbian dilution. The generalization ability, i.e. the probability to recognize a pattern which has not been learned before, is calculated in replica symmetry.",

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On the generalization ability of diluted perceptrons

Abstract

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