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Feature Selection for Ensembles (1999)  (Make Corrections)  (18 citations)
David W. Opitz
AAAI/IAAI



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Abstract: The traditional motivation behind feature selection algorithms is to find the best subset of features for a task using one particular learning algorithm. Given the recent success of ensembles, however, we investigate the notion of ensemble feature selection in this paper. This task is harder than traditional feature selection in that one not only needs to find features germane to the learning task and learning algorithm, but one also needs to find a set of feature subsets that will promote... (Update)

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BibTeX entry:   (Update)

Opitz, D. submitted. Feature selection for ensembles. In Proceedings of the Sixteenth National Conference on Artificial Intelligence. Randic, M. 1975. On characterization of molecular branching. Journal of American Chemical Society 97:6609--6615. http://citeseer.ist.psu.edu/opitz99feature.html   More

@inproceedings{ opitz99feature,
    author = "David Opitz",
    title = "Feature Selection for Ensembles",
    booktitle = "{AAAI}/{IAAI}",
    pages = "379-384",
    year = "1999",
    url = "citeseer.ist.psu.edu/opitz99feature.html" }
Citations (may not include all citations):
1931   Adaptation in Natural and Artificial Systems (context) - Holland - 1975
657   Bagging predictors - Breiman - 1996
500   Experiments with a new boosting algorithm - Freund, Schapire - 1996
353   An Introduction to Genetic Algorithms (context) - Mitchell - 1996
342   Wrappers for feature subset selection - Kohavi, John - 1997
155   An empirical comparison of voting classification algorithms:.. - Bauer, Kohavi - 1998
133   Neural network ensembles (context) - Krogh, Vedelsby - 1995
102   Neural network ensembles (context) - Hansen, Salamon - 1990
51   An empirical evaluation of bagging and boosting - Maclin, Opitz - 1997
42   Learning Boolean concepts in the presence of many irrelevant.. - Almuallim, Dietterich - 1994
19   Boosting the margin: A new explanation for the e#ectiveness .. (context) - Shapire, Freund et al. - 1997
12   Growing simpler decision trees to facilitate knowledge disco.. - Cherkauer, Shavlik - 1996
12   Using genetic algorithms to select inputs for neural network.. (context) - Guo, Uhrig - 1992
1   Actively searching for an e#ective neural-network ensemble (context) - Opitz, Shavlik - 1996
1   Connectionist theory refinement: Searching for good network .. (context) - Opitz, Shavlik - 1997



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