Negative correlation in incremental learning
type: Item
instance of: scholarly article
title: Negative correlation in incremental learning
zbMATH Open document ID: 1188.68231
author: Fernanda Li Minku
author: Hirotaka Inoue
author: Xin Yao
published in: Natural Computing
publication date: 2009-06-16T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5565171
zbMATH Keywords: neural network ensembles
zbMATH Keywords: incremental learning
zbMATH Keywords: negative correlation learning
zbMATH Keywords: multi-layer perceptrons
zbMATH Keywords: self-generating neural tree
zbMATH Keywords: self-organising neural grove
zbMATH Keywords: classification
describes a project that uses: Fuzzy ARTMAP
describes a project that uses: AdaBoost.MH
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: s11047-007-9063-7
OpenAlex ID: W2158553142
cites work: Bagging predictors
cites work: Random forests
cites work: Q3093311
cites work: Introduction to evolutionary computing
cites work: A decision-theoretic generalization of on-line learning and an application to boosting
cites work: Q4444136
cites work: Self-organizing maps.
cites work: Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
cites work: Soft margins for AdaBoost
cites work: Boosting the margin: a new explanation for the effectiveness of voting methods
cites work: An analysis of diversity measures
DOI: 10.1007/S11047-007-9063-7
description: scientific article; zbMATH DE number 5565171