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CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 6 months ago
When are feedforward microcircuits well-modeled by maximum entropy methods?
Describing the collective activity of neural populations is a daunting task: the number of possible patterns grows exponentially with the number of cells, resulting in practically...
Andrea K. Barreiro, Julijana Gjorgjieva, Fred Riek...
ACML
2009
Springer
14 years 3 months ago
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyi’s quadr...
Ran He, Bao-Gang Hu, Xiaotong Yuan
ICML
2003
IEEE
14 years 9 months ago
Mixtures of Conditional Maximum Entropy Models
Dmitry Pavlov, Alexandrin Popescul, David M. Penno...
NIPS
2004
13 years 10 months ago
Mistake Bounds for Maximum Entropy Discrimination
We establish a mistake bound for an ensemble method for classification based on maximizing the entropy of voting weights subject to margin constraints. The bound is the same as a ...
Philip M. Long, Xinyu Wu
UAI
2004
13 years 10 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby