377 search results - page 2 / 76 » Learning Bayesian networks from data: An information-theory ... |
AAAI
2008
13 years 7 months ago
2008
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
WILF
2005
Springer
13 years 10 months ago
2005
Springer
Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
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...
PERCOM
2004
ACM
14 years 4 months ago
2004
ACM
Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions o...