Classification and Regression Using an Outer Approximation Projection-Gradient Method

This paper deals with sparse feature selection and grouping for classification and regression. The classification or regression problems under consideration consists of minimizing a convex empirical risk function subject to an ℓ 1 constraint, a pairwise ℓ ∞ constraint, or a pairwise ℓ 1 constraint....

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Vydané v:	IEEE transactions on signal processing Ročník 65; číslo 17; s. 4635 - 4644
Hlavní autori:	Barlaud, Michel, Belhajali, Wafa, Combettes, Patrick L., Fillatre, Lionel
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2017
Predmet:	Biological system modeling Convergence Convex functions Convex optimization Level set Optimization outer approximation projection-gradient algorithm Signal processing algorithms
ISSN:	1053-587X, 1941-0476
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