Fuzzy rough sets based uncertainty measuring for stream based active learning

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationProceedings - International Conference on Machine Learning and Cybernetics
Pages282-288
Volume1
Publication statusPublished - 2012

Publication series

Name
Volume1
ISSN (Print)2160-133X
ISSN (electronic)2160-1348

Conference

Title2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012
PlaceChina
CityXian, Shaanxi
Period15 - 17 July 2012

Abstract

Active learning methods put their efforts on selecting and labeling the most informative examples out of a large amount of unlabeled ones. It is performed in uncertain environments where the learner is required to make some decisions on the observed examples. However, existing algorithms do not have a good formulation to evaluate the example's uncertainty by considering the inconsistency between conditional features and decision labels, while this inconsistency has been taken into account by fuzzy rough sets. Therefore, a fuzzy rough sets based active learning algorithm with stream based settings is proposed in this work. The lower approximations in fuzzy rough sets are used to compute the memberships of the unlabeled example, and the uncertainty is then used for decision. Experimental comparisons with other existing approaches demonstrate the effectiveness of the proposed algorithm. © 2012 IEEE.

Research Area(s)

  • Active learning, Fuzzy rough sets, Membership, Support vector machine, Uncertainty

Citation Format(s)

Fuzzy rough sets based uncertainty measuring for stream based active learning. / Wang, Ran; Kwong, Sam; Chen, Degang et al.
Proceedings - International Conference on Machine Learning and Cybernetics. Vol. 1 2012. p. 282-288 6358926.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review