Fast distant support vector data description-Reference-Cited by-同舟云学术

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Fast distant support vector data description

Published:2016-05-12 Issue:1 Volume:9 Page:3-14
ISSN:1865-9284
Container-title:Memetic Computing
language:en
Short-container-title:Memetic Comp.

Author:

Ling Ping,You Xiangyang,Gao Dajin,Gao Tao,Li Xue

Funder

the National Natural Science Foundation of China

the key Natural Science Foundation of Jiangsu Normal University

ARC Discovery Project of Australia: Opinion Analysis on Objects in Social Networks

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12293-016-0189-y.pdf

Reference25 articles.

1. Tax DMJ, Duin RPW (2004) Support vector data description. Mach Learn 54(1):45–66

2. Shin JH, Lee B, Park KS (2011) Detection of abnormal living patterns for elderly living alone using support vector data description. Inf Technol 11(2):225–239

3. Wang S, Yu J, Lapira E et al (2013) A modified support vector data description based novelty detection approach for machinery components. Appl Soft Comput 13(2):1193–1205

4. Jay P, Singh PK (2015) An effective multiobjective approach for hard partitional clustering. Memet Comput 7(2):93–104

5. Benkedjouh T, Medjaher K, Zerhouni N et al (2012) Fault prognostic of bearings by using support vector data description. In: IEEE Conference on Prognostics and Health Management (PHM), pp 1–7

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