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Classification and regression using an outer approximation projection-gradient method

6 Jun 2015 • Michel Barlaud • Wafa Belhajali • Patrick L. Combettes • Lionel Fillatre

This paper deals with sparse feature selection and grouping for classification and regression. The classification or regression problems under consideration consists in minimizing a convex empirical risk function subject to an $\ell^1$ constraint, a pairwise $\ell^\infty$ constraint, or a pairwise $\ell^1$ constraint... (read more)

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