Bayesian multi-instance multi-label learning using Gaussian process prior

DOI10.1007/s10994-012-5283-xzbMath1243.68242OpenAlexW2034103635MaRDI QIDQ439048

Zhelong Wang, Hong Gu, Jian-Jun He

Publication date: 31 July 2012

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

Full work available at URL: https://doi.org/10.1007/s10994-012-5283-x

zbMATH Keywords

Gaussian processLaplace approximationmulti-label learningmulti-instance multi-label learning

Mathematics Subject Classification ID

Gaussian processes (60G15) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Large scale multi-label learning using Gaussian processes

Uses Software

• BoosTexter
• ML-KNN
• Euk-mPLoc

Cites Work

• Multi-instance multi-label learning
• ML-KNN: A lazy learning approach to multi-label learning
• BoosTexter: A boosting-based system for text categorization
• PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
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