474 search results - page 15 / 95 » The Bayesian Structural EM Algorithm |
ECAI
2004
Springer
14 years 9 days ago
2004
Springer
Abstract. In previous research, we presented a dynamicprogramming-based EM (expectation-maximization) algorithm for parameterized logic programs, which is based on the structure sh...
ACL
2012
11 years 11 months ago
2012
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
CVPR
1997
IEEE
14 years 4 days ago
1997
IEEE
A recent trend in motion-based segmentation has been to rely on statistical procedures derived from ExpectationMaximization (EM) principles. EM-based approaches have various attra...
ACL
2004
13 years 10 months ago
2004
This paper discusses the application of the Expectation-Maximization (EM) clustering algorithm to the task of Chinese verb sense discrimination. The model utilized rich linguistic...
UAI
1997
13 years 10 months ago
1997
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...