Cost-sensitive SVDD models based on a sample selection approach-Reference-Cited by-同舟云学术

Cost-sensitive SVDD models based on a sample selection approach

Published:2018-06-06 Issue:11 Volume:48 Page:4247-4266
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Zhao Zhenchong,Wang Xiaodan^ORCID

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/article/10.1007/s10489-018-1187-1/fulltext.html

Reference47 articles.

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3. Dhar S, Cherkassky V (2015) Development and evaluation of cost-sensitive universum-SVM[J]. IEEE Trans Cybern 45(4):806–818

4. Yang CY, Yang JS, Wang JJ (2009) Margin calibration in SVM class-imbalanced learning[J]. Neurocomputing 73(1-3):397–411

5. Jiang L et al (2014) Cost-sensitive Bayesian network classifiers[J]. Pattern Recogn Lett 45:211–216

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