Measuring the uncertainty of differences for contrasting groups

Jilian, Z; Shichao, Z; Xiaofeng, Z; Xindong, W; Chengqi, Z

Measuring the uncertainty of differences for contrasting groups

Jilian, Z Shichao, Z Xiaofeng, Z Xindong, W Chengqi, Z

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the National Conference on Artificial Intelligence, 2007, 2 pp. 1920 - 1921
Issue Date:: 2007-11-28

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Field	Value	Language
dc.contributor.author	Jilian, Z	en_US
dc.contributor.author	Shichao, Z	en_US
dc.contributor.author	Xiaofeng, Z	en_US
dc.contributor.author	Xindong, W	en_US
dc.contributor.author	Chengqi, Z https://orcid.org/0000-0001-5715-7154	en_US
dc.date.issued	2007-11-28	en_US
dc.identifier.citation	Proceedings of the National Conference on Artificial Intelligence, 2007, 2 pp. 1920 - 1921	en_US
dc.identifier.isbn	1577353234	en_US
dc.identifier.isbn	9781577353232	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12634
dc.description.abstract	In this paper, we propose an empirical likelihood (EL) based strategy for building confidence intervals for differences between two contrasting groups. The proposed method can deal with the situations when we know little prior knowledge about the two groups, which are referred to as non-parametric situations. We experimentally evaluate our method on UCI datasets and observe that proposed EL based method outperforms other methods. Copyright © 2007, Association for the Advancement of Artificial Intelligence(www.aaai.org). All rights reserved.	en_US
dc.relation.ispartof	Proceedings of the National Conference on Artificial Intelligence	en_US
dc.title	Measuring the uncertainty of differences for contrasting groups	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Vancouver, Canada	en_US
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 - 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	2	en_US

Abstract:

In this paper, we propose an empirical likelihood (EL) based strategy for building confidence intervals for differences between two contrasting groups. The proposed method can deal with the situations when we know little prior knowledge about the two groups, which are referred to as non-parametric situations. We experimentally evaluate our method on UCI datasets and observe that proposed EL based method outperforms other methods. Copyright © 2007, Association for the Advancement of Artificial Intelligence(www.aaai.org). All rights reserved.

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http://hdl.handle.net/10453/12634