Asymptotic Bayes Risk for Gaussian Mixture in a Semi-Supervised Setting
Asymptotic Bayes Risk for Gaussian Mixture in a Semi-Supervised Setting
Semi-supervised learning (SSL) uses unlabeled data for training and has been shown to greatly improve performances when compared to a supervised approach on the labeled data available. This claim depends both on the amount of labeled data available and on the algorithm used. In this paper, we compute analytically the …