Feature Ranking Using an EDA-based Wrapper Approach

作者: Yvan Saeys , Sven Degroeve , Yves Van de Peer

DOI: 10.1007/3-540-32494-1_10

关键词:

摘要: Feature subset selection is an important pre-processing step for classification. A more general framework of feature selection is feature ranking. A feature ranking provides an …

参考文章(22)
I. Inza, P. Larrañaga, B. Sierra, Feature Subset Selection by Estimation of Distribution Algorithms Estimation of Distribution Algorithms. pp. 269- 293 ,(2002) , 10.1007/978-1-4615-1539-5_13
Martin Pelikan, Heinz Muehlenbein, The Bivariate Marginal Distribution Algorithm Springer, London. pp. 521- 535 ,(1999) , 10.1007/978-1-4471-0819-1_39
Jose A. Lozano, Pedro Larraanaga, Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation Kluwer Academic Publishers. ,(2001)
Dunja Mladenić, Marko Grobelnik, Feature selection on hierarchy of web documents decision support systems. ,vol. 35, pp. 45- 87 ,(2003) , 10.1016/S0167-9236(02)00097-0
Andrew P. Sage, L. N. Kanal, J. F. Lemmer, Uncertainty in Artificial Intelligence 2 ,(1988)
Ron Kohavi, George H. John, Wrappers for feature subset selection Artificial Intelligence. ,vol. 97, pp. 273- 324 ,(1997) , 10.1016/S0004-3702(97)00043-X
Jack Sklansky, Mineichi Kudo, Comparison of algorithms that select features for pattern classifiers Pattern Recognition. ,vol. 33, pp. 25- 41 ,(2000) , 10.1016/S0031-3203(99)00041-2
Avrim L. Blum, Pat Langley, Selection of relevant features and examples in machine learning Artificial Intelligence. ,vol. 97, pp. 245- 271 ,(1997) , 10.1016/S0004-3702(97)00063-5
I. Inza, P. Larrañaga, R. Etxeberria, B. Sierra, Feature subset selection by Bayesian network-based optimization Artificial Intelligence. ,vol. 123, pp. 157- 184 ,(2000) , 10.1016/S0004-3702(00)00052-7
Isabelle Guyon, André Elisseeff, An introduction to variable and feature selection Journal of Machine Learning Research. ,vol. 3, pp. 1157- 1182 ,(2003) , 10.1162/153244303322753616