中国矿业大学主页平台系统 Liu Peng--Home-- Flat random forest: a new ensemble learning method towards better training efficiency and adaptive model size to deep forest

Associate professor

Supervisor of Master's Candidates

E-Mail:

School/Department:物联网(感知矿山)研究中心

Contact Information:手机（微信同号）：18361210108

Degree:Doctor

Status:在岗

Alma Mater:中国矿业大学

Discipline:Communications and Information Systems
Computer Applications Technology

Current position: Home > Scientific Research > Paper Publications

Flat random forest: a new ensemble learning method towards better training efficiency and adaptive model size to deep forest

Release time:2021-09-28 Hits:

DOI number:10.1007/s13042-020-01136-0

Affiliation of Author(s):物联网(感知矿山)研究中心

Funded by:自选课题

First Author:Liu Peng

Co-author:Wang, Xuekui,Yin, Liangfei,liubing

Indexed by:Journal paper

Document Code:5b5bb294761dd399017620ec08dd0149

Volume:卷: 11期: 11页: 2501-2513

ISSN No.:1868-8071

Translation or Not:no

CN No.:JCR2区

Date of Publication:2020-11-01