Maximal width learning of binary functions-Reference-Cited by-同舟云学术

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Maximal width learning of binary functions

Published:2010-01 Issue:1 Volume:411 Page:138-147
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Anthony Martin,Ratsaby Joel

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference13 articles.

1. Scale-sensitive dimensions, uniform convergence, and learnability;Alon;Journal of the ACM,1997

2. The Theory of Partitions;Andrews,1988

3. Neural Network Learning: Theoretical Foundations;Anthony,1999

4. Function learning from interpolation;Anthony;Combinatorics, Probability and Computing,2000

5. Computational Learning Theory: An Introduction;Anthony,1992

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2. Large width nearest prototype classification on general distance spaces;Theoretical Computer Science;2018-08

3. Classification based on prototypes with spheres of influence;Information and Computation;2017-10

4. Multi-category classifiers and sample width;Journal of Computer and System Sciences;2016-12

5. A probabilistic approach to case-based inference;Theoretical Computer Science;2015-07

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