Varying Coefficient Support Vector Machines

Xiaoling Lu, Fengchi Dong, Xiexin Liu and Xiangyu Chang

Statistics & Probability Letters, 2018, vol. 132, issue C, 107-115

Abstract: This paper proposes a Varying Coefficient Support Vector Machine (VCSVM). VCSMO, a variation of the classic algorithm SMO for standard SVMs, is also proposed to solve for VCSVM. Numerical examples validate the accuracy and efficiency of the proposed model.

Keywords: Support Vector Machines; Varying Coefficient model; Document classification (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715217302924
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:132:y:2018:i:c:p:107-115

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2017.09.006

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().