Absolute convergence and error thresholds in non-active adaptive sampling

DOI10.1016/j.jcss.2022.05.002OpenAlexW4280616750MaRDI QIDQ2672944

Víctor M. Darriba Bilbao, Jesús Vilares Ferro, Manuel Vilares Ferro

Publication date: 13 June 2022

Published in: Journal of Computer and System Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcss.2022.05.002

zbMATH Keywords

machine learning convergencenon-active adaptive samplingPOS tagging

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• SVMTool
• TreeTagger
• TnT
• Stanford Tagger

Cites Work

• Bagging predictors
• Adaptive sampling methods for scaling up knowledge discovery algorithms
• A Subspace, Interior, and Conjugate Gradient Method for Large-Scale Bound-Constrained Minimization Problems
• 10.1162/153244302760200678

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