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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents



ID: 420049.0, MPI für biologische Kybernetik / Biologische Kybernetik
An Analysis of Inference with the Universum
Authors:Sinz, F.H.; Chapelle, O.; Agarwal, A.; Schölkopf, B.
Editors:Platt, J. C.; Koller, D.; Singer, Y.; Roweis, S.
Date of Publication (YYYY-MM-DD):2008-09
Title of Proceedings:Advances in Neural Information Processing Systems 20: Proceedings of the 2007 Conference
Start Page:1369
End Page:1376
Physical Description:8
Audience:Not Specified
Intended Educational Use:No
Abstract / Description: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.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI f�r biologische Kybernetik/NWG Bethge
MPI f�r biologische Kybernetik/Empirical Inference (Dept. Sch�lkopf)
Identifiers:LOCALID:4709
URL:http://books.nips.cc/papers/files/nips20/NIPS2007_...
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