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On the Consistency Rate of Decision Tree Learning Algorithms
Decision tree learning algorithms such as CART are generally based on heuristics that maximizes the impurity gain greedily. Though …
Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
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Depth is More Powerful than Width with Prediction Concatenation in Deep Forests
This paper presents a consistency theory for deep forests.
Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou
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Improving Deep Forest by Exploiting High-Order Interactions
This paper presents an interaction-based representation method for deep forests.
Yi-He Chen, Shen-Huan Lyu, Yuan Jiang
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A Refined Margin Distribution Analysis for Forest Representation Learning
This paper presents a margin-based theory for deep forests.
Shen-Huan Lyu, Liang Yang, Zhi-Hua Zhou
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