One‐class classification using a support vector machine with a quasi‐linear kernel

Author:

Liang Peifeng1,Li Weite1,Tian Hao2,Hu Jinglu1

Affiliation:

1. Graduate School of Information, Production and SystemsWaseda University Kitakyushu‐shi 808‐0135 Japan

2. School of Information EngineeringHubei University of Economics, No. 8, Yangqiaohu Avenue Jiangxia District Wuhan 430205 China

Funder

Science Research Key Project of the Department of Education in Hubei Province, China

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference35 articles.

1. KhanSS MaddenMG. A survey of recent trends in one class classification.Proceedings of the 18th Irish Conference on Artificial Intelligence and Cognitive Science Dublin Springer 2009;188–197.

2. TaxDMJ.One‐class classification PhD dissertation series number 65 Delft University of Technology 2001.

3. One-class classification: taxonomy of study and review of techniques

4. JanssensJ HM. Outlier selection and one‐class classification TiCC PhD Dissertation Series No. 27 Tilburg University 2013.

5. Pebl:web page classification without negative examples

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