DART: Dropouts meet Multiple Additive Regression Trees

7 May 2015K. V. RashmiRan Gilad-Bachrach

Multiple Additive Regression Trees (MART), an ensemble model of boosted regression trees, is known to deliver high prediction accuracy for diverse tasks, and it is widely used in practice. However, it suffers an issue which we call over-specialization, wherein trees added at later iterations tend to impact the prediction of only a few instances, and make negligible contribution towards the remaining instances... (read more)

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