3 papers
cs.LG2025
Theoretical Investigation on Inductive Bias of Isolation Forest
Qin-Cheng Zheng, Shao-Qun Zhang, Shen-Huan Lyu +2
Isolation Forest (iForest) stands out as a widely-used unsupervised anomaly detector, primarily owing to its remarkable runtime efficiency and superior performance in large-scale t…
cs.LG2024
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest
Shen-Huan Lyu, Jin-Hui Wu, Qin-Cheng Zheng +1
Random forests are classical ensemble algorithms that construct multiple randomized decision trees and aggregate their predictions using naive averaging. \citet{zhou2019deep} furth…
cs.SE2024
Beimingwu: A Learnware Dock System
Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi +7
The learnware paradigm proposed by Zhou [2016] aims to enable users to reuse numerous existing well-trained models instead of building machine learning models from scratch, with th…