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资源说明：In this paper, we present a nonparametric Bayesian multi-task large-margin classification model which can cluster tasks into the most appropriate number of groups and induce flexible model sharing within each task group simultaneously. Specifically, we first show a very simple method to integrate large margin learning with hierarchical Bayesian
models by employing an important variant of the standard SVM, i.e., proximal SVM (PSVM), whose loss function is
used to define a novel likeli
models by employing an important variant of the standard SVM, i.e., proximal SVM (PSVM), whose loss function is
used to define a novel likeli
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