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Abstract: In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for defining the theoretically optimal, but computationally intractable, method for feature subset selection is presented. We show that our goal should be to eliminate a feature if it gives us little or no additional information beyond that subsumed by the remaining features. In particular, this will be the case for both irrelevant and redundant features. We then give an efficient ... (Update)
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BibTeX entry: (Update)
Koller, D., & Sahami, M. (1996). Toward Optimal Feature Selection. In: Machine Learning: Proceedings of the Thirteenth International Conference. Morgan Kaufmann. http://citeseer.comp.nus.edu.sg/117819.html More
@misc{ koller96toward,
author = "D. Koller and M. Sahami",
title = "Toward Optimal Feature Selection",
text = "Koller, D., & Sahami, M. (1996). Toward Optimal Feature Selection. In:
Machine Learning: Proceedings of the Thirteenth International Conference.
Morgan Kaufmann.",
year = "1996",
url = "citeseer.comp.nus.edu.sg/117819.html" }
Citations (may not include all citations):2319 Elements of Information Theory (context) - Cover, Thomas - 1991
2177 Programs for Machine Learning (context) - Quinlan - 1993
2133 Pattern Classification and Scene Analysis (context) - Duda, Hart - 1973
760 Probabilistic Reasoning in Intelligent Systems (context) - Pearl - 1988
667 UCI repository of machine learning databases (context) - Murphy, Aha - 1995
291 Irrelevant features and the subset selection problem - John, Kohavi et al. - 1994
125 Learning with many irrelevant features - Almuallim, Dietterich - 1991
121 An analysis of bayesian classifiers - Langley, Iba et al. - 1992
120 Greedy attribute selection - Caruana, Freitag - 1994
116 On information and sufficiency (context) - Kullback, Leibler - 1951
111 The feature selection problem: Traditional methods and a new.. (context) - Kira, Rendell - 1992
96 Occam's razor (context) - Blumer, Ehrenfeucht et al. - 1987
80 Induction of selective bayesian classifiers - Langley, Sage - 1994
51 Wrappers for Performance Enhancement and Oblivious Decision .. - Kohavi - 1995
27 Efficient learning of selective bayesian network classifiers - Singh, Provan - 1996
25 Localized partial evaluation of belief networks - Draper, Hanks - 1994
6 Sensitivities: An alternative to conditional probabilities f.. - Kozlov, Singh - 1995
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