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速度提升、准确率更胜一筹,周志华等人提出可微XGBoost算法sGBM
梯度提升机(GBM)的重要性无需多言,但传统的 GBM 仍存在一些固有缺点。近日,南京大学周志华, 创新工场冯霁等人提出了一种新型的软梯度提升机(sGBM),并基于此构建了新型的软梯度提升决策树(sGBDT),作为XGBoost的替代性模型。相比于传统的「硬」GBM ...
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