Empirical comparison of bagging-based ensemble classifiers

• Main Authors: Suganthan, P. N., Ye, Ren
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2014
• 主題: DRNTU::Engineering::Electrical and electronic engineering
• 在線閱讀: https://hdl.handle.net/10356/101838; http://hdl.handle.net/10220/19784; http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6289900
• 機構: Nanyang Technological University

This paper compares empirically four bagging-based ensemble classifiers, namely the ensemble adaptive neuro-fuzzy inference system (ANFIS), the ensemble support vector machine (SVM), the ensemble extreme learning machine (ELM) and the random forest. The comparison of these four ensemble classifiers...