Reinforced quasi-random forest

作者：

Highlights：

• A reinforcement strategy for random forest.

• A novel bottom-up approach to grow a set of mutually orthogonal trees.

• Introduction of quasi-random trees.

• An electrostatic model to find trees for reinforcement.

摘要

•A reinforcement strategy for random forest.•A novel bottom-up approach to grow a set of mutually orthogonal trees.•Introduction of quasi-random trees.•An electrostatic model to find trees for reinforcement.

论文关键词：Random forest,Reinforcement learning,Orthogonal decision trees,Importance of attributes

论文评审过程：Received 6 August 2018, Revised 1 April 2019, Accepted 7 May 2019, Available online 11 May 2019, Version of Record 14 May 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.05.013