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Floating search methods for feature selection with nonmonotonic criterion functions
Abstract
In this paper the recently developed "floating search" algorithms are presented and modified to a more compact form facilitating their direct comparison with the well known (l,r) search. The properties of the floating search methods are investigated, especially with respect to their tolerance to nonmonotonic criteria. Their computational efficiency is demonstrated by results on real data of high dimensionality.
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Cited by
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Lotte, F., & Guan, C. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2082539 · Cited by 1,045
Ensemble approaches for regression: A survey
Mendes-Moreira, J., Soares, C., Jorge, A. M., & Sousa, J. F. D. (2012) · ACM Computing Surveys · doi:10.1145/2379776.2379786 · Cited by 667
Fusing audio, visual and textual clues for sentiment analysis from multimodal content
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Speech Emotion Recognition Using Fourier Parameters
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Metadata
- Authors
- Pudil, P., Ferri, F. J., Novovicova, J., & Kittler, J.
- Venue
- Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5)
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2002-12-17
- Volume
- 2
- Pages
- 279-283
- OpenAlex
- W2104862701
- Cited by
- 354
- References
- 0
- FWCI
- 22.40
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Pudil, P., Ferri, F. J., Novovicova, J., & Kittler, J. (2002). Floating search methods for feature selection with nonmonotonic criterion functions. Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5). https://doi.org/10.1109/icpr.1994.576920
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