Feature Selection for Ensembles

@inproceedings{Opitz1999FeatureSF,
  title={Feature Selection for Ensembles},
  author={David W. Opitz},
  booktitle={AAAI/IAAI},
  year={1999}
}
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… CONTINUE READING
Highly Influential
This paper has highly influenced 26 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 283 citations. REVIEW CITATIONS

3 Figures & Tables

Topics

Statistics

01020'00'02'04'06'08'10'12'14'16'18
Citations per Year

284 Citations

Semantic Scholar estimates that this publication has 284 citations based on the available data.

See our FAQ for additional information.