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  An Analysis of Inference with the Universum

Sinz, F., Chapelle, O., Agarwal, A., & Schölkopf, B. (2008). An Analysis of Inference with the Universum. Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, 1369-1376.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C727-4 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C728-2
Genre: Conference Paper

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 Creators:
Sinz, FH1, Author           
Chapelle, O2, Author           
Agarwal, A2, Author           
Schölkopf, B2, Author           
Platt, Editor
C., J., Editor
Koller, D., Editor
Singer, Y., Editor
Roweis, S., Editor
Affiliations:
1Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              
2Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: We study a pattern classification algorithm which has recently been proposed by Vapnik and coworkers. It builds on a new inductive principle which assumes that in addition to positive and negative data, a third class of data is available, termed the Universum. We assay the behavior of the algorithm by establishing links with Fisher discriminant analysis and oriented PCA, as well as with an SVM in a projected subspace (or, equivalently, with a data-dependent reduced kernel). We also provide experimental results.

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 Dates: 2008-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 978-1-605-60352-0
URI: http://nips.cc/Conferences/2007/
BibTex Citekey: 4709
 Degree: -

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Title: Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007)
Place of Event: Vancouver, BC, Canada
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Title: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Red Hook, NY, USA : Curran
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1369 - 1376 Identifier: -