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    Learning from Heterogeneous Sources via Gradient Boosting Consensus
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    Learning from Heterogeneous Sources via Gradient Boosting Consensus
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    Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
    Xiaoxiao Shi, Jean-François Paiement, David...
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