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Cited by 1,857Data Stream Mining TechniquesDomain Adaptation and Few-Shot LearningMachine Learning and Algorithms

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Learning in the Presence of Concept Drift and Hidden Contexts

Open access
Widmer, Gerhard, Kubat, Miroslav·1996·Machine Learning
DOI 10.1023/a:1018046501280
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References 45 · Cited by 1,857

Research works printed but not linked: 3

  1. Angluin. D (1988). Queries and Concept Lenlling. Machine l.earning 2(4), 319 342.
  2. Hecht-Nielsen R. (1990). Neurcomputing. Reading, MA: Addison-Wesley
  3. Langley. P., & Iba, W. (1993) Average-case Analysis of a Nearest Neghbor Algorithm Proceedings of the Thirteenth International Conference on Artifiical Intelligence (pp.889–894) San Mateo, CA: Morgan Kaufmann

Metadata

Authors
Widmer, G., & Kubat, M.
Affiliations
University of Vienna (AT)
ORCID
Widmer, Gerhard
Venue
Machine Learning
Publisher
Springer Science and Business Media LLC
Published
1996-04
Volume
23
Issue
1
Pages
69-101
ISSN
  • 0885-6125 (ISSN-L)
  • 1573-0565
DOI
10.1023/a:1018046501280
OpenAlex
W2022775778
Cited by
1,857
References
45
Citations by year
2026: 74 · 2025: 71 · 2024: 63 · 2023: 91 · 2022: 71 · 2021: 100 · 2020: 109 · 2019: 97 · 2018: 84 · 2017: 91 · 2016: 76 · 2015: 84 · 2014: 84 · 2013: 102 · 2012: 87
FWCI
7.84
Type
journal article
Language
en
Open access
Licence
Locations
Machine Learning (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Data Stream Mining Techniques
  • Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Algorithms
Keywords
concept drift, online learning, noisy data, conceptual change

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CoChat. (2026). Citation check: Learning in the Presence of Concept Drift and Hidden Contexts. https://app.cochat.ai/papers/10.1023/a:1018046501280
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Widmer, G., & Kubat, M. (1996). Learning in the Presence of Concept Drift and Hidden Contexts. Machine Learning. https://doi.org/10.1023/a%3A1018046501280