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A Marginalized Variational Bayesian Approach to the Analysis of Array Data
Yiming Ying
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Leto: 2007 Vir: videolectures.net
Information Theoretic Kernel Integration
Yiming Ying
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In this paper we consider a novel information-theoretic approach to multiple kernel learning based on minimising a Kullback-Leibler (KL) divergence between the output kernel matrix and the input kernel matrix. There are two formula- tions which we refer to as MKLdiv-dc and MKLdiv-conv. We propose ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 2
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