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We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tasks and selects the subset of features relevant to the tasks within each group. The model employs a Dirchlet process with a beta- Bernoulli hierarchical base measure. The posterior inference is accomplished efficiently using...
Index tables on key words and bipartite graph matching are two existing methods on Web service discovery, but both of them have certain limitations. On the basis of common Web service descriptive standardized WSDL, a novel two-stage Web service discovery method is proposed in this paper. Related service is discovered based on index tables in the first stage. By taking semantic information into account...
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