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» Entropy Numbers of Linear Function Classes
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COLT
2000
Springer
13 years 9 months ago
Entropy Numbers of Linear Function Classes
This paper collects together a miscellany of results originally motivated by the analysis of the generalization performance of the “maximum-margin” algorithm due to Vapnik and...
Robert C. Williamson, Alex J. Smola, Bernhard Sch&...
FSE
2008
Springer
101views Cryptology» more  FSE 2008»
13 years 7 months ago
Post-Processing Functions for a Biased Physical Random Number Generator
Abstract. A corrector is used to reduce or eliminate statistical weakness of a physical random number generator. A description of linear corrector generalizing post-processing desc...
Patrick Lacharme
JMLR
2002
135views more  JMLR 2002»
13 years 5 months ago
Covering Number Bounds of Certain Regularized Linear Function Classes
Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In many of these theoretical stud...
Tong Zhang
ICPR
2004
IEEE
14 years 6 months ago
Linear Discriminant Analysis and Discriminative Log-linear Modeling
We discuss the relationship between the discriminative training of Gaussian models and the maximum entropy framework for log-linear models. Observing that linear transforms leave ...
Daniel Keysers, Hermann Ney
TSP
2010
13 years 1 days ago
Independent component analysis by entropy bound minimization
A novel (differential) entropy estimator is introduced where the maximum entropy bound is used to approximate the entropy given the observations, and is computed using a numerical ...
Xi-Lin Li, Tülay Adali