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» Entropy estimation using the principle of maximum entropy
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GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
13 years 10 months ago
The Principle of Maximum Entropy-Based Two-Phase Optimization of Fuzzy Controller by Evolutionary Programming
In this paper, a two-phase evolutionary optimization scheme is proposed for obtaining optimal structure of fuzzy control rules and their associated weights, using evolutionary prog...
Chi-Ho Lee, Ming Yuchi, Hyun Myung, Jong-Hwan Kim
ACL
1998
13 years 6 months ago
Feature Lattices for Maximum Entropy Modelling
Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...
Andrei Mikheev
GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
13 years 10 months ago
An Estimation of Distribution Algorithm Based on Maximum Entropy
Estimation of distribution algorithms (EDA) are similar to genetic algorithms except that they replace crossover and mutation with sampling from an estimated probability distributi...
Alden H. Wright, Riccardo Poli, Christopher R. Ste...
WCE
2007
13 years 6 months ago
A mathematical review of the generalized entropies and their matrix trace inequalities
Abstract– We review the properties of the generalized entropies in our previous papers in the following way. (1)A generalized Fannes’ inequality is shown by the axiomatically c...
Shigeru Furuichi
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 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...