A self-training approach to cost sensitive uncertainty sampling

DOI10.1007/s10994-009-5131-9zbMath1470.68136OpenAlexW4244434054MaRDI QIDQ1959514

Alexander Liu, Joydeep Ghosh, Goo Jun

Publication date: 7 October 2010

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

Full work available at URL: https://doi.org/10.1007/s10994-009-5131-9

zbMATH Keywords

active learningcost-sensitive learningself-training

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Optimised probabilistic active learning (OPAL)

Uses Software

• UCI-ml
• CLUTO

Cites Work

• Active sampling for class probability estimation and ranking
• Agnostic active learning
• Unnamed Item

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