On multi-class learning through the minimization of the confusion matrix norm

no code implementations • 16 Mar 2013 • Sokol Koço, Cécile Capponi

Indeed, recent results show that using the norm of the confusion matrix as an error measure can be quite interesting due to the fine-grain informations contained in the matrix, especially in the case of imbalanced classes.

General Classification imbalanced classification +1

PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification

no code implementations • 28 Feb 2012 • Emilie Morvant, Sokol Koço, Liva Ralaivola

In this work, we propose a PAC-Bayes bound for the generalization risk of the Gibbs classifier in the multi-class classification framework.

General Classification Multi-class Classification