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TIT
2008
85views more  TIT 2008»
13 years 4 months ago
Undersmoothed Kernel Entropy Estimators
We develop a "plug-in" kernel estimator for the differential entropy that is consistent even if the kernel width tends to zero as quickly as 1/N, where N is the number of...
Liam Paninski, Masanao Yajima
NECO
2010
97views more  NECO 2010»
13 years 3 months ago
Rademacher Chaos Complexities for Learning the Kernel Problem
In this paper we develop a novel generalization bound for learning the kernel problem. First, we show that the generalization analysis of the kernel learning problem reduces to in...
Yiming Ying, Colin Campbell
ICA
2004
Springer
13 years 10 months ago
ICA Using Kernel Entropy Estimation with NlogN Complexity
Abstract. Mutual information (MI) is a common criterion in independent component analysis (ICA) optimization. MI is derived from probability density functions (PDF). There are scen...
Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechn...
JMLR
2011
148views more  JMLR 2011»
12 years 11 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
CDC
2010
IEEE
150views Control Systems» more  CDC 2010»
12 years 12 months ago
Nonlinear hybrid system identification with kernel models
Abstract-- This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducin...
Fabien Lauer, Gérard Bloch, René Vid...