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Output kernel tree
This video was recorded at Open House on Multi-Task and Complex Outputs Learning, London 2006. In this paper, we generalize tree-based methods to the prediction in structured output space. The extension is based on a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the output space. The resulting algorithm, called output kernel trees (OK3), generalizes classification and regression trees in a principled way.
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
