A Comparative Evaluation of Sequential Feature Selection Algorithms

作者: David W. Aha , Richard L. Bankert

DOI: 10.1007/978-1-4612-2404-4_19

关键词:

摘要: … evaluation functions was motivated by the hypothesis that wrapper models, which use the classifier itself as the evaluation function, … The evaluation of each state is maintained with it on …

参考文章(15)
Thomas G. Dietterich, Hussein Almuallim, Learning with many irrelevant features national conference on artificial intelligence. pp. 547- 552 ,(1991)
Andrew W. Moore, Mary S. Lee, Efficient Algorithms for Minimizing Cross Validation Error Machine Learning Proceedings 1994. pp. 190- 198 ,(1994) , 10.1016/B978-1-55860-335-6.50031-3
David W. Aha, Generalizing from case studies: a case study international conference on machine learning. pp. 1- 10 ,(1992) , 10.1016/B978-1-55860-247-2.50006-1
Rich Caruana, Dayne Freitag, Greedy Attribute Selection Machine Learning Proceedings 1994. pp. 28- 36 ,(1994) , 10.1016/B978-1-55860-335-6.50012-X
Stephanie Sage, Pat Langley, Oblivious Decision Trees and Abstract Cases ,(1994)
George H John, Ron Kohavi, Karl Pfleger, None, Irrelevant Features and the Subset Selection Problem Machine Learning Proceedings 1994. pp. 121- 129 ,(1994) , 10.1016/B978-1-55860-335-6.50023-4
Igor Kononenko, Estimating attributes: analysis and extensions of RELIEF european conference on machine learning. pp. 171- 182 ,(1994) , 10.1007/3-540-57868-4_57
Thomas M. Cover, Jan M. Van Campenhout, On the Possible Orderings in the Measurement Selection Problem IEEE Transactions on Systems, Man, and Cybernetics. ,vol. 7, pp. 657- 661 ,(1977) , 10.1109/TSMC.1977.4309803