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  Semi-supervised kernel regression using whitened function classes

Franz, M., Kwon, Y., Rasmussen, C., & Schölkopf, B. (2004). Semi-supervised kernel regression using whitened function classes. In C. Rasmussen, H. Bülthoff, B. Schölkopf, & M. Giese (Eds.), Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004 (pp. 18-26). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-F37A-B Version Permalink: https://hdl.handle.net/21.11116/0000-0005-5260-2
Genre: Conference Paper

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https://link.springer.com/content/pdf/10.1007%2F978-3-540-28649-3_3.pdf (Publisher version)
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 Creators:
Franz, MO1, 2, Author           
Kwon, Y1, 2, Author           
Rasmussen, CE1, 2, Author           
Schölkopf, B1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: The use of non-orthonormal basis functions in ridge regression leads to an often undesired non-isotropic prior in function space. In this
study, we investigate an alternative regularization technique that
results in an implicit whitening of the basis functions by penalizing
directions in function space with a large prior variance. The
regularization term is computed from unlabelled input data that
characterizes the input distribution. Tests on two datasets using
polynomial basis functions showed an improved average performance
compared to standard ridge regression.

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 Dates: 2004-09
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: BibTex Citekey: 2638
 Degree: -

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Title: 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004)
Place of Event: Tübingen, Germany
Start-/End Date: 2004-08-30 - 2004-09-01

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Title: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004
Source Genre: Proceedings
 Creator(s):
Rasmussen, CE1, Editor           
Bülthoff, H1, Editor           
Schölkopf, B1, Editor           
Giese, MA, Editor           
Affiliations:
1 Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794            
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 18 - 26 Identifier: ISBN: 978-3-540-22945-2

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 3175 Sequence Number: - Start / End Page: - Identifier: -