Sparsity-driven weighted ensemble classifier

no code implementations • 2 Oct 2016 • Atilla Ozgur, Hamit Erdem, Fatih Nar

In the proposed method, ensemble weights finding problem is modeled as a cost function with the following terms: (a) a data fidelity term aiming to decrease misclassification rate, (b) a sparsity term aiming to decrease the number of classifiers, and (c) a non-negativity constraint on the weights of the classifiers.

General Classification