How to select information that matters - a comparative study on active learning strategies for classification.

Christian Beyer; Georg Krempl; Vincent Lemaire

doi:10.1145/2809563.2809594

How to select information that matters - a comparative study on active learning strategies for classification.

Christian Beyer
, Georg Krempl
, Vincent Lemaire

Sub Algorithmic Data Analysis

Research output: Contribution to conference › Paper › Academic

Original language	English
Pages	2:1-2:8
DOIs	https://doi.org/10.1145/2809563.2809594
Publication status	Published - 2015

Bibliographical note

DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Access to Document

10.1145/2809563.2809594

https://dblp.org/rec/conf/iknow/BeyerKL15

Cite this

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title = "How to select information that matters - a comparative study on active learning strategies for classification.",

author = "Christian Beyer and Georg Krempl and Vincent Lemaire",

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AU - Krempl, Georg

AU - Lemaire, Vincent

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PY - 2015

Y1 - 2015

U2 - 10.1145/2809563.2809594

DO - 10.1145/2809563.2809594

M3 - Paper

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