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» Approximate factorizations of distributions and the minimum ...
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104
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GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
15 years 10 months ago
Approximate factorizations of distributions and the minimum relative entropy principle
Heinz Mühlenbein, Robin Höns
199
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Entropy estimation using the principle of maximum entropy
In this paper, we present a novel entropy estimator for a given set of samples drawn from an unknown probability density function (PDF). Counter to other entropy estimators, the e...
Behrouz Behmardi, Raviv Raich, Alfred O. Hero
NIPS
2001
15 years 6 months ago
The g Factor: Relating Distributions on Features to Distributions on Images
We describe the g-factor which relates probability distributions on image features to distributions on the images themselves. The g-factor depends only on our choice of features a...
James M. Coughlan, Alan L. Yuille
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 5 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...