32 search results - page 1 / 7 » Learning Mixture Models with the Latent Maximum Entropy Prin... |
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...
NIPS
2008
13 years 6 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
ICSM
2009
IEEE
13 years 11 months ago
2009
IEEE
The paper proposes a new measure for the cohesion of classes in Object-Oriented software systems. It is based on the analysis of latent topics embedded in comments and identifiers...
UAI
2004
13 years 6 months ago
2004
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...