219 search results - page 1 / 44 » Learning the Dimensionality of Hidden Variables |
UAI
2001
13 years 6 months ago
2001
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
GRC
2010
IEEE
13 years 6 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
This paper explores the issue of recognizing, generalizing and reproducing arbitrary gestures. We aim at extracting a representation that encapsulates only the key aspects of the ...
ICML
1997
IEEE
14 years 5 months ago
1997
IEEE
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Learning the structure of graphical models is an important task, but one of considerable difficulty when latent variables are involved. Because conditional independences using hid...