698 search results - page 97 / 140 » Bayesian probability |
UAI
2004
13 years 9 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We introduce the Line Search A-Function (LSAF) technique that generalizes the Extended-Baum Welch technique in order to provide an effective optimization technique for a broader s...
AAAI
1998
13 years 9 months ago
1998
Two of the most important threads of work in knowledge representation today are frame-based representation systems (FRS's) and Bayesian networks (BNs). FRS's provide an ...
SAC
2009
ACM
14 years 2 months ago
2009
ACM
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
EDM
2008
13 years 9 months ago
2008
Bayesian graphical models are commonly used to build student models from data. A number of standard algorithms are available to train Bayesian models from student skills assessment...