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F. Portera

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#machine learning Preprint Aug 2026

Convex losses and their applications to SVM, SVR, and Shallow Neural Networks

This preliminary study shows that using pattern correlations inside the loss function could in theory enhance the generalization performances on some data-sets, and shows that generalization measures are the same with or without the new losses.

F. Portera · 0 citations