Active learning from oracle with knowledge blind spot

Fang, M; Zhu, X; Zhang, C

Active learning from oracle with knowledge blind spot

Fang, M Zhu, X Zhang, C

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the National Conference on Artificial Intelligence, 2012, 3 pp. 2421 - 2422
Issue Date:: 2012-11-07

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Field	Value	Language
dc.contributor.author	Fang, M	en_US
dc.contributor.author	Zhu, X	en_US
dc.contributor.author	Zhang, C https://orcid.org/0000-0001-5715-7154	en_US
dc.date.issued	2012-11-07	en_US
dc.identifier.citation	Proceedings of the National Conference on Artificial Intelligence, 2012, 3 pp. 2421 - 2422	en_US
dc.identifier.isbn	9781577355687	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30874
dc.description.abstract	Active learning traditionally assumes that an oracle is capable of providing labeling information for each query instance. This paper formulates a new research problem which allows an oracle admit that he/she is incapable of labeling some query instances or simply answer "I don't know the label". We define a unified objective function to ensure that each query instance submitted to the oracle is the one mostly needed for labeling and the oracle should also has the knowledge to label. Experiments based on different types of knowledge blind spot (KBS) models demonstrate the effectiveness of the proposed design. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.	en_US
dc.relation.ispartof	Proceedings of the National Conference on Artificial Intelligence	en_US
dc.title	Active learning from oracle with knowledge blind spot	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Toronto, Ontario, Canada
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Strength - ACRI - Australia China Relations Institute
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	3	en_US

Abstract:

Active learning traditionally assumes that an oracle is capable of providing labeling information for each query instance. This paper formulates a new research problem which allows an oracle admit that he/she is incapable of labeling some query instances or simply answer "I don't know the label". We define a unified objective function to ensure that each query instance submitted to the oracle is the one mostly needed for labeling and the oracle should also has the knowledge to label. Experiments based on different types of knowledge blind spot (KBS) models demonstrate the effectiveness of the proposed design. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/30874