144 search results - page 23 / 29 » Probabilistic models for discovering e-communities |
CVPR
2009
IEEE
13 years 12 months ago
2009
IEEE
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
NIPS
2004
13 years 10 months ago
2004
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
ISCI
2008
13 years 8 months ago
2008
In order to discover interesting patterns and dependencies in data, an approach based on rough set theory can be used. In particular, Dominance-based Rough Set Approach (DRSA) has...
BMCBI
2005
13 years 8 months ago
2005
Background: Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability of membership...