Distributed representation learning with skip-gram model for trained random forests

• Main Authors: MA, Chao, WANG, Tianjun, ZHANG, Le, CAO, Zhiguang, HUANG, Yue, DING, Xinghao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Distributed representation learning; random forest; co-occurrence relationship; Skip-Gram; feature hashing; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/8220
• Institution: Singapore Management University

The random forest family has been extensively studied due to its wide applications in machine learning and data analytics. However, the representation abilities of forests have not been explored yet. The existing forest representation is mainly based on feature hashing on the indices of leaf nodes....