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....

Full description

Bibliographic Details

Published in:	IEEE transactions on signal processing Vol. 65; no. 17; pp. 4635 - 4644
Main Authors:	Barlaud, Michel, Belhajali, Wafa, Combettes, Patrick L., Fillatre, Lionel
Format:	Journal Article
Language:	English
Published:	IEEE 01.09.2017
Subjects:	Biological system modeling Convergence Convex functions Convex optimization Level set Optimization outer approximation projection-gradient algorithm Signal processing algorithms
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!