47 search results - page 1 / 10 » Latent variable discovery in classification models |
ARTMED
2004
13 years 4 months ago
2004
The naive Bayes model makes the often unrealistic assumption that the feature variables are mutually independent given the class variable. We interpret a violation of this assumpt...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
EACL
2006
ACL Anthology
13 years 6 months ago
2006
ACL Anthology
We propose models for semantic orientations of phrases as well as classification methods based on the models. Although each phrase consists of multiple words, the semantic orienta...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
LAWEB
2008
IEEE
13 years 11 months ago
2008
IEEE
