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Novel Bayesian inference on optimal parameters of support vector machines and its application to industrial survey data classification

Crossref DOI link: https://doi.org/10.1016/j.neucom.2015.12.132

Published Print: 2016-10

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Authors

Zhong, Jingjing

Tse, Peter W.

Wang, Dong https://orcid.org/0000-0003-4872-4860
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (51505307)

Research Grants Council of the Hong Kong Special Administrative Region, China (CityU_122513)

City University of Hong Kong (7004251)
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Text and Data Mining valid from 2016-10-01
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This article is maintained by: Elsevier

Article Title: Novel Bayesian inference on optimal parameters of support vector machines and its application to industrial survey data classification

Journal Title: Neurocomputing

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.neucom.2015.12.132

Content Type: article

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