CORE Series Tuesday, April 11, 2017 EEB 125, 4:00-5:00PM Liza Levina, University of Michigan TITLE: Interpretable Prediction Models for Network-Linked Data ABSTRACT: Prediction problems typically assume the training data are independent samples, but in many modern applications samples come from individuals connected by a network. For example, in adolescent health studies of risk-taking behaviors, information on the subjects’ social […]
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