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Automated adaptation strategies for stream learning

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Publication:2051328
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DOI10.1007/s10994-021-05992-xOpenAlexW3166102932MaRDI QIDQ2051328

Rashid Bakirov, Damien Fay, Bogdan Gabrys

Publication date: 24 November 2021

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

Full work available at URL: https://arxiv.org/abs/1812.10793

zbMATH Keywords

concept driftstreaming datanon-stationary dataautomated machine learningadaptive machine learning


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items

Online AutoML: an adaptive AutoML framework for online learning, An adaptive Polyak heavy-ball method


Uses Software

  • UCI-ml
  • WEKA
  • PRTools
  • MOA
  • TPOT
  • Auto-WEKA
  • GitHub
  • SMAC
  • Scikit-multiflow
  • auto-sklearn
  • ML-plan


Cites Work

  • Unnamed Item
  • Unnamed Item
  • Learning model trees from evolving data streams
  • Tracking the best expert
  • The weighted majority algorithm
  • ML-plan: automated machine learning via hierarchical planning
  • Learning hybrid neuro-fuzzy classifier models from data: to combine or not to combine?
  • Bayesian model selection and model averaging
  • Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential Approach
  • Combining Pattern Classifiers
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