Nuclear discrepancy for single-shot batch active learning

DOI10.1007/s10994-019-05817-yzbMath1493.68322OpenAlexW2955906643WikidataQ127617814 ScholiaQ127617814MaRDI QIDQ2320585

Jesse H. Krijthe, Marco Loog, Tom J. Viering

Publication date: 23 August 2019

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

Full work available at URL: https://doi.org/10.1007/s10994-019-05817-y

zbMATH Keywords

discrepancykernel methodsactive learningmaximum mean discrepancy

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

NuclearDiscrepancy

Uses Software

• UCI-ml
• GitHub

Cites Work

• Domain adaptation and sample bias correction theory and algorithm for regression
• Fast exact leave-one-out cross-validation of sparse least-squares support vector machines
• A theory of learning from different domains
• Agnostic active learning
• Active Learning
• Information Theory and Statistical Mechanics
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