123 search results - page 6 / 25 » Bayesian Algorithms for Causal Data Mining |
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
ITRE
2005
IEEE
14 years 28 days 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...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
KDD
1995
ACM
13 years 11 months ago
1995
ACM
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
RSFDGRC
2005
Springer
14 years 25 days ago
2005
Springer
Abstract. In this paper, we revisit the consensus of computational complexity on exact inference in Bayesian networks. We point out that even in singly connected Bayesian networks,...