RankSVR: Can preference data help regression?

10.1145/1871437.1871550

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Bibliographic Details
Main Authors: Yu, H., Kim, S., Na, S.
Other Authors: COMPUTER SCIENCE
Format: Conference or Workshop Item
Published: 2013
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/40417
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-404172015-01-09T19:38:59Z RankSVR: Can preference data help regression? Yu, H. Kim, S. Na, S. COMPUTER SCIENCE Ranking Regression Sampling 10.1145/1871437.1871550 International Conference on Information and Knowledge Management, Proceedings 879-888 2013-07-04T08:03:49Z 2013-07-04T08:03:49Z 2010 Conference Paper Yu, H.,Kim, S.,Na, S. (2010). RankSVR: Can preference data help regression?. International Conference on Information and Knowledge Management, Proceedings : 879-888. ScholarBank@NUS Repository. <a href="https://doi.org/10.1145/1871437.1871550" target="_blank">https://doi.org/10.1145/1871437.1871550</a> 9781450300995 http://scholarbank.nus.edu.sg/handle/10635/40417 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic Ranking
Regression
Sampling
spellingShingle Ranking
Regression
Sampling
Yu, H.
Kim, S.
Na, S.
RankSVR: Can preference data help regression?
description 10.1145/1871437.1871550
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
Yu, H.
Kim, S.
Na, S.
format Conference or Workshop Item
author Yu, H.
Kim, S.
Na, S.
author_sort Yu, H.
title RankSVR: Can preference data help regression?
title_short RankSVR: Can preference data help regression?
title_full RankSVR: Can preference data help regression?
title_fullStr RankSVR: Can preference data help regression?
title_full_unstemmed RankSVR: Can preference data help regression?
title_sort ranksvr: can preference data help regression?
publishDate 2013
url http://scholarbank.nus.edu.sg/handle/10635/40417
_version_ 1681082264386011136