Active sampling for class probability estimation and ranking

DOI10.1023/B:MACH.0000011806.12374.C3zbMath1057.68089OpenAlexW3112138688MaRDI QIDQ1424773

Maytal Saar-Tsechansky, Foster Provost

Publication date: 15 March 2004

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

Full work available at URL: https://doi.org/10.1023/b:mach.0000011806.12374.c3

zbMATH Keywords

rankingsupervised learningdecision treesactive learningselective samplingcost-sensitive learninguncertainty samplingclass probability estimation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (10)

A scalable preference model for autonomous decision-making ⋮ Active learning for logistic regression: an evaluation ⋮ Active Learning with Multiple Localized Regression Models ⋮ Repeated labeling using multiple noisy labelers ⋮ A self-training approach to cost sensitive uncertainty sampling ⋮ More for less: adaptive labeling payments in online labor markets ⋮ An adaptive sampling scheme guided by BART—with an application to predict processor performance ⋮ Cost-Minimising Strategies for Data Labelling: Optimal Stopping and Active Learning ⋮ Improving classification performance through selective instance completion ⋮ Model guided adaptive design and analysis in computer experiment

Uses Software

• UCI-ml

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