Feature selection in machine learning: an exact penalty approach using a Difference of Convex function Algorithm

We develop an exact penalty approach for feature selection in machine learning via the zero-norm ℓ 0 -regularization problem. Using a new result on exact penalty techniques we reformulate equivalently the original problem as a Difference of Convex (DC) functions program. This approach permits us to...

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