A benchmark and comparison of active learning for logistic regression

Yazhou Yang; Marco Loog

doi:10.1016/j.patcog.2018.06.004

A benchmark and comparison of active learning for logistic regression

Yazhou Yang, Marco Loog

Department of Computer Science

39 Citations (Scopus)

Original language	English
Journal	Pattern Recognition
Volume	83
Pages (from-to)	401-415
ISSN	0031-3203
DOIs	https://doi.org/10.1016/j.patcog.2018.06.004
Publication status	Published - Nov 2018

Keywords

Active learning
Logistic regression
Experimental design
Benchmark
Preference maps

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10.1016/j.patcog.2018.06.004

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@article{efe1af1b6bac4be9a29e7c3bfa2e5d81,

title = "A benchmark and comparison of active learning for logistic regression",

keywords = "Active learning, Logistic regression, Experimental design, Benchmark, Preference maps",

author = "Yazhou Yang and Marco Loog",

year = "2018",

month = nov,

doi = "10.1016/j.patcog.2018.06.004",

language = "English",

volume = "83",

pages = "401--415",

journal = "Pattern Recognition",

issn = "0031-3203",

publisher = "Elsevier",

}

TY - JOUR

T1 - A benchmark and comparison of active learning for logistic regression

AU - Yang, Yazhou

AU - Loog, Marco

PY - 2018/11

Y1 - 2018/11

KW - Active learning

KW - Logistic regression

KW - Experimental design

KW - Benchmark

KW - Preference maps

U2 - 10.1016/j.patcog.2018.06.004

DO - 10.1016/j.patcog.2018.06.004

M3 - Journal article

SN - 0031-3203

VL - 83

SP - 401

EP - 415

JO - Pattern Recognition

JF - Pattern Recognition

ER -

A benchmark and comparison of active learning for logistic regression

Keywords

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