A survey on active learning strategy

Li-Li SUN, Xi-Zhao WANG

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Referred Conference Paperpeer-review

24 Citations (Scopus)

Abstract

Active learning is a hot topic in machine learning field. The main task of active learning is to automatically select the representative instances for efficiently reducing the sample complexity. This paper presents a brief survey of active learning regarding selection methods, query strategies, applications and other related works.

Original languageEnglish
Title of host publicationProceedings : 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
PublisherIEEE
Pages161-166
Number of pages6
ISBN (Electronic)9781424465279
ISBN (Print)9781424465262
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 - Qingdao, China
Duration: 11 Jul 201014 Jul 2010

Publication series

NameInternational Conference on Machine Learning and Cybernetics (ICMLC)
PublisherIEEE
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
Country/TerritoryChina
CityQingdao
Period11/07/1014/07/10

Bibliographical note

This paper is supported by the national natural science foundation of China (60903088, 60903089), the natural science foundation of Hebei Province (F2008000635), the key project foundation of applied fundamental research of Hebei Province (08963522D).

Keywords

  • Active learning
  • Machine learning
  • Query strategy
  • Selective sampling

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