Improving importance estimation in pool-based batch active learning for approximate linear regression

DOI10.1016/j.neunet.2012.09.002zbMath1258.68117OpenAlexW1984169813WikidataQ50781461 ScholiaQ50781461MaRDI QIDQ1942721

Nozomi Kurihara, Masashi Sugiyama

Publication date: 13 March 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2012.09.002

zbMATH Keywords

inclusion probabilitycovariate shiftapproximate linear regressionimportance-weighted least-squaresP-ALICEpool-based batch active learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• ElemStatLearn
• PRMLT

Cites Work

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