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CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 4 months ago
Maximum Entropy Rate of Markov Sources for Systems With Non-regular Constraints
Using the concept of discrete noiseless channels, it was shown by Shannon in A Mathematical Theory of Communication that the ultimate performance of an encoder for a constrained sy...
Georg Böcherer, Valdemar Cardoso da Rocha Jr....
TSP
2010
12 years 11 months 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
ICML
2004
IEEE
14 years 5 months ago
A maximum entropy approach to species distribution modeling
We study the problem of modeling species geographic distributions, a critical problem in conservation biology. We propose the use of maximum-entropy techniques for this problem, s...
Miroslav Dudík, Robert E. Schapire, Steven ...
JMLR
2010
119views more  JMLR 2010»
12 years 11 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun
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...