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PLATYPUS

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Suggested by: Avital Cher

Description

PLATYPUS is a multi-view machine learning strategy that builds ‘views’ from multiple data sources that are all used as features for predicting patient outcomes. It presents how a learning strategy that finds agreement across the views on unlabeled data increases the performance of the learning methods over any single view.

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