MULTI-CLASS ACTIVE LEARNING BY INTEGRATING UNCERTAINTY AND DIVERSITY

Active learning is a promising way to reduce the labeling cost with a limited training samples ORG GREENS CHOCOLATE initially, and then iteratively select the most valuable samples from a large number of unlabeled data for labeling in order to construct a powerful classifier.The goal of active learning is to make the labeled data set has no redunda

A situation in which a finite set of players can obtain certain payoffs by cooperation Sleeveless can be described by a cooperative game with transferable utility, or simply a TU-game.A solution for TU-games assigns a set of payoff distributions to every TU-game.In the literature, various models of games with restricted cooperation can be found whe