In machine learning, for binary classification , is SVM algorithm convex ? the found optimal solution is global for the probleme definition ?

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Sajid Ahmed

Yes. Actually that was the main selling point of SVM over neural networks. If we look closely at the formulation of SVM, we will see that the objective funtion along with the constraints have been kept convex in the primal form.

Liming Yuan

Yes, SVM algorithm is a kind of convex quadratic programming. SVM obtains the global optimal solution through maximizing the soft margin.

Alex Yiolkin

Yes, it is main advantage of the SVM

Samir Touzani

Thank you very much.