A survey on active learning strategy

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, appl...

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Published in2010 International Conference on Machine Learning and Cybernetics Vol. 1; pp. 161 - 166
Main Authors Li-Li Sun, Xi-Zhao Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2010
Subjects
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ISBN9781424465262
1424465265
ISSN2160-133X
DOI10.1109/ICMLC.2010.5581075

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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.
AbstractList 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.
Author Li-Li Sun
Xi-Zhao Wang
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  surname: Xi-Zhao Wang
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  organization: Key Lab. of Machine Learning & Comput. Intell., Hebei Univ., Baoding, China
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Snippet Active learning is a hot topic in machine learning field. The main task of active learning is to automatically select the representative instances for...
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StartPage 161
SubjectTerms Active learning
Classification algorithms
Complexity theory
Learning systems
Machine learning
Query strategy
Selective sampling
Support vector machines
Training
Uncertainty
Title A survey on active learning strategy
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