215 search results - page 40 / 43 » Coarse-to-Fine Inference and Learning for First-Order Probab... |
IJCAI
2003
13 years 9 months ago
2003
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
NIPS
2004
13 years 9 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
AAAI
2010
13 years 9 months ago
2010
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
CIKM
2008
Springer
13 years 9 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...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Entity resolution is the problem of determining which records in a database refer to the same entities, and is a crucial and expensive step in the data mining process. Interest in...