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Showing 1 to 2 of 2 for “"graph-based regularization"”.

  1. Graph regularized transductive classification on heterogeneous information networks

    … for all types of the remaining objects. A novel graph-based regularization framework, GNetMine, is proposed to model the link structure in information networks with arbitrary network schema and arbitrary number of object/link types. Specifically, we explicitly respect the type differences by …

    uiuc Repository record for Graph regularized transductive classification on heterogeneous information networks (opens in a new tab)

  2. Contextual text mining

    … a general framework for contextual text mining based on generative modeling of text. This conceptual framework provides general guidance on text mining problems with context information and can be instantiated into many real tasks, including the general problem of contextual topic analysis. We …

    uiuc Repository record for Contextual text mining (opens in a new tab)