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Drawing parallels between multi-label classification and multi-target regression

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Classifier chains, trees and graphs for multi-target learning

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Structured learning modulo theories

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Kernel corresponding projections for orphan targets

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Structured prediction of network response

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Improving Bayesian network learning using heterogeneous experts

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A short survey of exceptional model mining --- exploring unusual interactions between multiple targets

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Incorporating domain knowledge in multivariate regression models

Arvind Agarwal and Saurabh Kataria
Multitask learning for sequence labeling tasks