Graphical MultiTask Learning

@inproceedings{Sheldon2008GraphicalML,
  title={Graphical MultiTask Learning},
  author={Daniel Sheldon},
  year={2008}
}
We investigate the problem of learning multiple tasks that are related according to a network structure, using the multi-task kernel framework proposed in (Evgeniou et al., 2006). Our method combines a graphical task kernel with an arbitrary base kernel. We demonstrate its effectiveness on a real ecological application. 
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