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Multi-category classifiers and sample width

  • Published:2016-12 Issue:8 Volume:82 Page:1223-1231
  • ISSN:0022-0000
  • Container-title:Journal of Computer and System Sciences
  • language:en
  • Short-container-title:Journal of Computer and System Sciences

Author:

Anthony Martin,Ratsaby Joel

Funder

IST Programme of the European Community

PASCAL2 Network of Excellence

Suntory and Toyota International Centres for Economics and Related Disciplines at the London School of Economics

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Networks and Communications,Theoretical Computer Science

Reference17 articles.

1. Function learning from interpolation;Anthony;Comb. Probab. Comput.,2000

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

3. Scale-sensitive dimensions, uniform convergence, and learnability;Alon;J. ACM,1997

4. Maximal width learning of binary functions;Anthony;Theor. Comput. Sci.,2010

5. Learning bounds via sample width for classifiers on finite metric spaces;Anthony;Theor. Comput. Sci.,2014

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. Learning half-spaces on general infinite spaces equipped with a distance function;Information and Computation;2023-03

2. Large-width machine learning algorithm;Progress in Artificial Intelligence;2020-08-05

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

4. Large-width bounds for learning half-spaces on distance spaces;Discrete Applied Mathematics;2018-07
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