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Title: Graphical Multi-Task Learning
Authors: Sheldon, Daniel
Keywords: Multi-Task Learning
Issue Date: 31-Oct-2008
Abstract: We investigate the problem of learning multiple tasks that are related according to a network structure, using the multi-task kernel framework proposed by Evgeniou, Micchelli and Pontil. Our method combines a graphical task kernel with an arbitrary base kernel.We demonstrate its effectiveness on a real ecological application that inspired this work.
Appears in Collections:Computing and Information Science Technical Reports

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