Tensor decision trees for continual learning from drifting data streams

DOI10.1007/s10994-021-06054-yOpenAlexW3203996256MaRDI QIDQ2071480

Bartosz Krawczyk

Publication date: 28 January 2022

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

Full work available at URL: https://doi.org/10.1007/s10994-021-06054-y

zbMATH Keywords

online learningdecision treesconcept driftdata stream miningcontinual learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams

Uses Software

• MOA
• SimTensor

Cites Work

• Unnamed Item
• A kernel-based framework to tensorial data analysis
• Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors
• Joint Tensor Factorization and Outlying Slab Suppression With Applications
• Tensor Decomposition for Signal Processing and Machine Learning
• Low-Rank Tucker Approximation of a Tensor from Streaming Data
• A survey on concept drift adaptation

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