Floating search methods for feature selection with nonmonotonic criterion functions
- 17 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 279-283
- https://doi.org/10.1109/icpr.1994.576920
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.Keywords
This publication has 5 references indexed in Scilit:
- ON AUTOMATIC FEATURE SELECTIONInternational Journal of Pattern Recognition and Artificial Intelligence, 1988
- Irrelevant Features in Pattern RecognitionIEEE Transactions on Computers, 1978
- Feature Set Search AlborithmsPublished by Springer Nature ,1978
- On the Possible Orderings in the Measurement Selection ProblemIEEE Transactions on Systems, Man, and Cybernetics, 1977
- A Branch and Bound Algorithm for Feature Subset SelectionIEEE Transactions on Computers, 1977