4 search results - page 1 / 1 » Finding structure in noisy text: topic classification and un... |
IJDAR
2007
13 years 5 months ago
2007
FCSC
2010
13 years 2 months ago
2010
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
NIPS
2008
13 years 6 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...