LiteMORT: A memory efficient gradient boosting tree system on adaptive compact distributions

26 Jan 2020 Yingshi Chen

Gradient boosted decision trees (GBDT) is the leading algorithm for many commercial and academic data applications. We give a deep analysis of this algorithm, especially the histogram technique, which is a basis for the regulized distribution with compact support... (read more)

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