A safe semi-supervised kernel minimum squared error algorithm

Semi-supervised learning has received much attention in machine learning field over the past decades and a number of algorithms are proposed to improve the performance by exploiting unlabeled data. However, unlabeled data may hurt performance of semi-supervised learning in some cases. It is instinct... View More