A robust AdaBoost.RT based ensemble extreme learning machine

DOI10.1155/2015/260970zbMath1394.68330OpenAlexW1566332026WikidataQ59117761 ScholiaQ59117761MaRDI QIDQ1665122

Pengbo Zhang, Zhixin Yang

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/260970

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• UCI-ml
• AdaBoost.RT

Cites Work

• Unnamed Item
• Bagging predictors
• Support-vector networks
• Improved boosting algorithms using confidence-rated predictions
• Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
• Random forests

This page was built for publication: A robust AdaBoost.RT based ensemble extreme learning machine