150 search results - page 3 / 30 » A Multivariate Discretization Method for Learning Bayesian N... |
KDD
2002
ACM
14 years 6 months ago
2002
ACM
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
PKDD
1999
Springer
13 years 10 months ago
1999
Springer
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
GECCO
2003
Springer
13 years 11 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...
BMCBI
2010
13 years 6 months ago
2010
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
ICDM
2009
IEEE
14 years 22 days ago
2009
IEEE
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...