549 search results - page 1 / 110 » A Bayesian Approach to Learning Bayesian Networks with Local... |
UAI
1997
13 years 6 months ago
1997
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
ITRE
2005
IEEE
13 years 11 months ago
2005
IEEE
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
IJAR
2010
13 years 4 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
UAI
1996
13 years 6 months ago
1996
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
ECTEL
2006
Springer
13 years 9 months ago
2006
Springer
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...