Stream-based active learning for sliding windows under the influence of verification latency

DOI10.1007/S10994-021-06099-ZOpenAlexW3213035807MaRDI QIDQ2163242

Georg Krempl, Daniel Kottke, Bernhard Sick, Tuan Pham

Publication date: 10 August 2022

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

Full work available at URL: https://doi.org/10.1007/s10994-021-06099-z

zbMATH Keywords

classificationactive learningconcept driftverification latencyevolving data streamslabel delay

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• PMTK
• scikit-activeml

Cites Work

• Unnamed Item
• Optimised probabilistic active learning (OPAL)
• Toward optimal probabilistic active learning using a Bayesian approach
• Delayed labelling evaluation for data streams
• Drift mining in data: a framework for addressing drift in classification
• Active Learning
• A survey on concept drift adaptation

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