Feipeng Zhao

Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels

Standard multi-label learning methods assume fully labeled training data. This assumption however is impractical in many application domains where labels are difficult to collect and missing labels are prevalent. In this paper, we develop a novel conditional restricted Boltzmann machine model to add…