Bayesian support vector regression using a unified loss function

10.1109/TNN.2003.820830

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Main Authors: Chu, W., Keerthi, S.S., Ong, C.J.
Other Authors: MECHANICAL ENGINEERING
Format: Article
Published: 2014
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Online Access:http://scholarbank.nus.edu.sg/handle/10635/59618
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-596182023-10-26T07:11:17Z Bayesian support vector regression using a unified loss function Chu, W. Keerthi, S.S. Ong, C.J. MECHANICAL ENGINEERING Automatic relevance determination Bayesian inference Gaussian processes Model selection Nonquadratic loss function Support vector regression 10.1109/TNN.2003.820830 IEEE Transactions on Neural Networks 15 1 29-44 ITNNE 2014-06-17T06:13:35Z 2014-06-17T06:13:35Z 2004-01 Article Chu, W., Keerthi, S.S., Ong, C.J. (2004-01). Bayesian support vector regression using a unified loss function. IEEE Transactions on Neural Networks 15 (1) : 29-44. ScholarBank@NUS Repository. https://doi.org/10.1109/TNN.2003.820830 10459227 http://scholarbank.nus.edu.sg/handle/10635/59618 000188603900003 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Automatic relevance determination
Bayesian inference
Gaussian processes
Model selection
Nonquadratic loss function
Support vector regression
spellingShingle Automatic relevance determination
Bayesian inference
Gaussian processes
Model selection
Nonquadratic loss function
Support vector regression
Chu, W.
Keerthi, S.S.
Ong, C.J.
Bayesian support vector regression using a unified loss function
description 10.1109/TNN.2003.820830
author2 MECHANICAL ENGINEERING
author_facet MECHANICAL ENGINEERING
Chu, W.
Keerthi, S.S.
Ong, C.J.
format Article
author Chu, W.
Keerthi, S.S.
Ong, C.J.
author_sort Chu, W.
title Bayesian support vector regression using a unified loss function
title_short Bayesian support vector regression using a unified loss function
title_full Bayesian support vector regression using a unified loss function
title_fullStr Bayesian support vector regression using a unified loss function
title_full_unstemmed Bayesian support vector regression using a unified loss function
title_sort bayesian support vector regression using a unified loss function
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/59618
_version_ 1781781666687090688