39 search results - page 3 / 8 » Selecting Features by Learning Markov Blankets |
ISNN
2007
Springer
13 years 12 months ago
2007
Springer
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
In this paper, we will evaluate the power and usefulness of Bayesian network classifiers for credit scoring. Various types of Bayesian network classifiers will be evaluated and co...
ICML
2002
IEEE
14 years 6 months ago
2002
IEEE
JMLR
2012
11 years 8 months ago
2012
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...