PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Learning with Non-Positive Kernels
Cheng Soon Ong, Xavier Mary, Stéphane Canu and Alex Smola
In: International Conference on Machine Learning, 2004, July 4-8, 2004, Banff, Canada.

Abstract

What happens when we do not have a positive definite kernel? It turns out that we can still do learning, in what is now a Krein Space. This paper talks about regression with indefinite kernels.

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EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:344
Deposited By:Stéphane Canu
Deposited On:15 December 2004