scientific article; zbMATH DE number 7370627

MaRDI QIDQ4999078

Max Halford, Raphael Sourty, Jacob Montiel, Geoffrey Bolmier, Jesse Read, Adil Zouitine, Talel Abdessalem, Albert Bifet, Saulo Martiello Mastelini, Robin Vaysse, Heitor M. Gomes

Publication date: 9 July 2021

Full work available at URL: https://arxiv.org/abs/2012.04740

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

supervised learningonline learningunsupervised learningconcept driftdata streamstream learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

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Uses Software

• HyperLogLog
• NumPy
• Scikit
• ElemStatLearn
• Cython
• Python
• Adam
• GitHub
• Scikit-multiflow
• creme
• ADADELTA

Cites Work

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• Efficient Monte Carlo methods for multi-dimensional learning with classifier chains
• Algorithms for Computing the Sample Variance: Analysis and Recommendations
• Updating mean and variance estimates
• Bandit Algorithms
• A survey on concept drift adaptation
• Advances in Artificial Intelligence – SBIA 2004
• Data stream clustering
• A Stochastic Approximation Method
• CONTINUOUS INSPECTION SCHEMES
• Finite-time analysis of the multiarmed bandit problem

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