Worst-case analysis of the perception and exponentiated update algorithms-Reference-Cited by-同舟云学术

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Worst-case analysis of the perception and exponentiated update algorithms

Published:1998-12 Issue:2 Volume:106 Page:335-352
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Bylander Tom

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference26 articles.

1. P. Auer, M. Warmuth, Tracking the best disjunction, Machine Learning, to appear.

2. The Perceptron: a model for brain functioning;Block;Reviews of Modern Physics,1962

3. A polynomial-time algorithm for learning noisy linear threshold functions;Blum,1996

4. Learning linear-threshold functions in the presence of classification noise;Bylander,1994

5. Learning linear threshold approximations using Perceptrons;Bylander;Neural Computation,1995

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. References;Informatics and Machine Learning;2021-10-06

2. Learning to assign degrees of belief in relational domains;Machine Learning;2008-07-30

3. Learning DNF in time 2Õ(n1/3);Journal of Computer and System Sciences;2004-03

4. PAC analogues of perceptron and winnow via boosting the margin;Machine Learning;2002

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