A Hierarchical Multi-Output Nearest Neighbor Model for Multi-Output Dependence Learning

17 Oct 2014Richard G. MorrisTony MartinezMichael R. Smith

Multi-Output Dependence (MOD) learning is a generalization of standard classification problems that allows for multiple outputs that are dependent on each other. A primary issue that arises in the context of MOD learning is that for any given input pattern there can be multiple correct output patterns... (read more)

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