81 search results - page 6 / 17 » Graphical Models, Exponential Families, and Variational Infe... |
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
JMLR
2008
14 years 9 months ago
2008
Existing template-independent web data extraction approaches adopt highly ineffective decoupled strategies--attempting to do data record detection and attribute labeling in two se...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...