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STABILITY PROPERTIES OF FEATURE SELECTION MEASURES.
- Source :
- Theory of Probability & Its Applications; 2024, Vol. 69 Issue 1, p25-34, 10p
- Publication Year :
- 2024
-
Abstract
- In this paper, we prove that the monotonicity property of the stability measure for the feature (factor) selection introduced by Nogueira, Sechidis, and Brown [J. Mach. Learn. Res., 18 (2018), pp. 1-54] may not hold. Another monotonicity property takes place. We also show the cases in which it is possible to compare by certain parameters the matrices describing the operation of algorithms for identifying relevant features. [ABSTRACT FROM AUTHOR]
- Subjects :
- FEATURE selection
ALGORITHMS
MATRICES (Mathematics)
Subjects
Details
- Language :
- English
- ISSN :
- 0040585X
- Volume :
- 69
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Theory of Probability & Its Applications
- Publication Type :
- Academic Journal
- Accession number :
- 179112991
- Full Text :
- https://doi.org/10.1137/S0040585X97T991726