Negative correlation in incremental learning

DOI10.1007/s11047-007-9063-7zbMath1188.68231OpenAlexW2158553142MaRDI QIDQ1024030

Hirotaka Inoue, Xin Yao, Fernanda Li Minku

Publication date: 16 June 2009

Published in: Natural Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11047-007-9063-7

zbMATH Keywords

classificationincremental learningmulti-layer perceptronsnegative correlation learningneural network ensemblesself-generating neural treeself-organising neural grove

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Looking inside self-organizing map ensembles with resampling and negative correlation learning

Uses Software

• UCI-ml
• AdaBoost.MH
• Fuzzy ARTMAP

Cites Work

• Unnamed Item
• Unnamed Item
• Bagging predictors
• An analysis of diversity measures
• A decision-theoretic generalization of on-line learning and an application to boosting
• Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
• Boosting the margin: a new explanation for the effectiveness of voting methods
• Introduction to evolutionary computing
• Self-organizing maps.
• Soft margins for AdaBoost
• Random forests