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  Adapting Codes and Embeddings for Polychotomies

Rätsch, G., Smola, A., & Mika, S. (2003). Adapting Codes and Embeddings for Polychotomies. In S. Becker, S. Thrun, & K. Obermayer (Eds.), Advances in Neural Information Processing Systems 15 (pp. 513-520). Cambridge, MA, USA: MIT Press.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-DB33-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-6BCA-0
Genre: Conference Paper

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 Creators:
Rätsch, G1, Author              
Smola, A1, Author              
Mika, S, Author
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: In this paper we consider formulations of multi-class problems based on a generalized notion of a margin and using output coding. This includes, but is not restricted to, standard multi-class SVM formulations. Differently from many previous approaches we learn the code as well as the embedding function. We illustrate how this can lead to a formulation that allows for solving a wider range of problems with for instance many classes or even “missing classes”. To keep our optimization problems tractable we propose an algorithm capable of solving them using twoclass classifiers, similar in spirit to Boosting.

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 Dates: 2003-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 2183
 Degree: -

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Title: Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002)
Place of Event: Vancouver, BC, Canada
Start-/End Date: 2002-12-09 - 2002-12-14

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Title: Advances in Neural Information Processing Systems 15
Source Genre: Proceedings
 Creator(s):
Becker, S, Editor
Thrun, S, Editor
Obermayer, K, Editor
Affiliations:
-
Publ. Info: Cambridge, MA, USA : MIT Press
Pages: 1687 Volume / Issue: - Sequence Number: - Start / End Page: 513 - 520 Identifier: ISBN: 0-262-02550-7