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ICASSP
2011
IEEE
12 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
CORR
2008
Springer
119views Education» more  CORR 2008»
13 years 4 months ago
A maximum entropy approach to OFDM channel estimation
In this work, a Bayesian framework for OFDM channel estimation is proposed. Using the maximum entropy principle to exploit prior system information at the receiver, we successively...
Romain Couillet, Mérouane Debbah
COLT
2004
Springer
13 years 10 months ago
Performance Guarantees for Regularized Maximum Entropy Density Estimation
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...
Miroslav Dudík, Steven J. Phillips, Robert ...
PAMI
2006
114views more  PAMI 2006»
13 years 4 months ago
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
Maya R. Gupta, Robert M. Gray, Richard A. Olshen
ICML
2003
IEEE
14 years 5 months ago
Learning Mixture Models with the Latent Maximum Entropy Principle
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...
Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin...