An improved multiclass LogitBoost using adaptive-one-vs-one

DOI10.1007/S10994-014-5434-3zbMath1319.68195OpenAlexW2081635953MaRDI QIDQ2514757

Yanyan Li

Publication date: 3 February 2015

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-014-5434-3

zbMATH Keywords

convex optimizationsupervised learningboostingensembleLogitBoost

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Greedy function approximation: A gradient boosting machine.
• New multicategory boosting algorithms based on multicategory Fisher-consistent losses
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Improved boosting algorithms using confidence-rated predictions
• Information Theory and Statistical Mechanics
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