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Abstract: We address the problem of finding a subset of features that allows a supervised induction algorithm to induce small high-accuracy concepts. We examine notions of relevance and irrelevance, and show that the definitions used in the machine learning literature do not adequately partition the features into useful categories of relevance. We present definitions for irrelevance and for two degrees of relevance. These definitions improve our understanding of the behavior of previous subset selection... (Update)
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BibTeX entry: (Update)
John, G.H., Kohavi, R., Pfleger, K., Irrelevant Features and the Subset Selection Problem, Proc. of the 11th International Conference on Machine Learning ICML94, pp. 121---129, 1994. http://citeseer.ist.psu.edu/john94irrelevant.html More
@inproceedings{ john94irrelevant,
author = "George H. John and Ron Kohavi and Karl Pfleger",
title = "Irrelevant Features and the Subset Selection Problem",
booktitle = "International Conference on Machine Learning",
pages = "121-129",
note = "Journal version in AIJ, available at http://citeseer.nj.nec.com/13663.html",
year = "1994",
url = "citeseer.ist.psu.edu/john94irrelevant.html" }
Citations (may not include all citations):1359 Induction of decision trees (context) - Quinlan - 1986
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291 Computer Systems that Learn (context) - Weiss, Kulikowski - 1991
239 Pattern Recognition: A Statistical Approach (context) - Devijver, Kittler - 1982
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105 The monk's problems: A performance comparison of different l.. - Thrun - 1991
102 Training a 3-node neural network is NP-complete - Blum, Rivest - 1992
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87 Subset Selection in Regression (context) - Miller - 1990
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53 Using decision trees to improve case-based learning - Cardie - 1993
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32 Oblivious decision trees and abstract cases - Langley, Sage - 1994
28 Efficient pruning methods for separate-and-conquer rule lear.. (context) - Cohen - 1993
19 Irrelevance Reasoning in Knowledge Based Systems - Levy - 1993
18 the effectiveness of receptors in recognition systems (context) - Marill, Green - 1963
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3 IEEE Transactions on Computers C (context) - on, Wasserman - 1990
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