68 search results - page 2 / 14 » Mixtures of Conditional Maximum Entropy Models |
TIT
2008
13 years 7 months ago
2008
Progressive encoding of a signal generally involves an estimation step, designed to reduce the entropy of the residual of an observation over the entropy of the observation itself....
ICDM
2003
IEEE
14 years 21 days ago
2003
IEEE
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
IWANN
2001
Springer
13 years 12 months ago
2001
Springer
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...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
VLSISP
1998
13 years 7 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...