Unsupervised weight parameter estimation method for ensemble learning

DOI10.1007/S10852-011-9157-1zbMath1232.68107OpenAlexW2090565762MaRDI QIDQ662147

Masato Uchida, Yousuke Maehara, Hiroyuki Shioya

Publication date: 21 February 2012

Published in: JMMA. Journal of Mathematical Modelling and Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10852-011-9157-1

zbMATH Keywords

Kullback-Leibler divergenceunsupervised learningensemble learningexponential mixture model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• UCI-ml
• AdaBoost.MH
• SemiBoost

Cites Work

• Bagging predictors
• A decision-theoretic generalization of on-line learning and an application to boosting
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Introduction to Semi-Supervised Learning
• Integration of Stochastic Models by Minimizing α-Divergence
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