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» A maximum entropy approach to species distribution modeling
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COLT
2006
Springer
13 years 11 months ago
Maximum Entropy Distribution Estimation with Generalized Regularization
Abstract. We present a unified and complete account of maximum entropy distribution estimation subject to constraints represented by convex potential functions or, alternatively, b...
Miroslav Dudík, Robert E. Schapire
IWANN
2001
Springer
14 years 11 days ago
Pattern Repulsion Revisited
Marques and Almeida [9] recently proposed a nonlinear data seperation technique based on the maximum entropy principle of Bell and Sejnowsky. The idea behind is a pattern repulsion...
Fabian J. Theis, Christoph Bauer, Carlos Garc&iacu...
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 8 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...
ISBRA
2007
Springer
14 years 2 months ago
Estimating Bacterial Diversity from Environmental DNA: A Maximum Likelihood Approach
The ability to measure bacterial diversity is a prerequisite for the systematic study of bacterial biogeography and ecology. In this paper we describe a method of estimating divers...
Frederick Cohan, Danny Krizanc, Yun Lu
NAACL
2004
13 years 9 months ago
Exponential Priors for Maximum Entropy Models
Maximum entropy models are a common modeling technique, but prone to overfitting. We show that using an exponential distribution as a prior leads to bounded absolute discounting b...
Joshua Goodman