32 search results - page 2 / 7 » Learning Mixture Models with the Latent Maximum Entropy Prin... |
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...
ICML
2010
IEEE
13 years 6 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...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
ACL
1998
13 years 6 months ago
1998
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
In this paper we propose a novel inhomogeneous Gibbs model by the minimax entropy principle, and apply it to face modeling. The maximum entropy principle generalizes the statistic...