549 search results - page 1 / 110 » A Bayesian Approach to Learning Bayesian Networks with Local... |
93
Voted
UAI
1997
15 years 6 days ago
1997
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
103
Voted
ITRE
2005
IEEE
15 years 4 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...
88
Voted
IJAR
2010
14 years 9 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...
100
Voted
UAI
1996
15 years 6 days 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 ...
84
Voted
ECTEL
2006
Springer
15 years 2 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 ...