May 26, 2017 · This paper deals with sparse feature selection and grouping for classification and regression. The classification or regression problems ...
Abstract—This paper deals with sparse feature selection and grouping for classification and regression. The classification or.
In this paper we propose a general optimization approach, the smoothing proximal gradient (SPG) method, which can solve structured sparse regression problems ...
This paper deals with sparse feature selection and grouping for classification and regression. The classification or regression problems under consideration ...
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Classification and regression using an outer approximation projection-gradient method ... classification and regression. Classification · feature selection +2.
Abstract—This paper concerns feature selection using super- vised classification on high dimensional datasets. The classical approach is to project data ...
May 3, 2024 · Fillatre, “Classification and regression using an outer approximation projection-gradient method,” vol. 65, no. 17, 2017, pp. 4635–4643. [46] ...
Combettes, Lionel Fillatre, “Classification and Regression Using an Outer Approximation Projection-Gradient Method”, IEEE Trans. Signal Process., 65:17 ...
Abstract. This paper deals with supervised classification and feature selection with application in the context of high dimensional features.
