Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning

28 Aug 2014 Chao Zhang DaCheng Tao Tao Hu Xiang Li

In this paper, we study the generalization performance of regularized multi-task learning (RMTL) in a vector-valued framework, where MTL is considered as a learning process for vector-valued functions. We are mainly concerned with two theoretical questions: 1) under what conditions does RMTL perform better with a smaller task sample size than STL?.. (read more)

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