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For: Xu Y, Chen M, Yang Z, Li G. ν-twin support vector machine with Universum data for classification. APPL INTELL 2016;44:956-68. [DOI: 10.1007/s10489-015-0736-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Number Cited by Other Article(s)
1
Li Y, Sun H. An improved parametric-margin universum TSVM. Neural Comput Appl 2022. [DOI: 10.1007/s00521-022-07238-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
2
Xiao Y, Feng J, Liu B. A new transductive learning method with universum data. APPL INTELL 2021. [DOI: 10.1007/s10489-020-02113-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
3
Xiao Y, Wen J, Liu B. A new multi-task learning method with universum data. APPL INTELL 2020. [DOI: 10.1007/s10489-020-01954-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
4
Weight-and-Universum-based semi-supervised multi-view learning machine. Soft comput 2019. [DOI: 10.1007/s00500-019-04572-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
5
An improved non-parallel Universum support vector machine and its safe sample screening rule. Knowl Based Syst 2019. [DOI: 10.1016/j.knosys.2019.01.031] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
6
Huang H, Wei X, Zhou Y. Twin support vector machines: A survey. Neurocomputing 2018. [DOI: 10.1016/j.neucom.2018.01.093] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
7
Zhao J, Xu Y. A safe sample screening rule for Universum support vector machines. Knowl Based Syst 2017. [DOI: 10.1016/j.knosys.2017.09.031] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
8
Mass classification of benign and malignant with a new twin support vector machine joint $${l_{2,1}}$$ l 2 , 1 -norm. INT J MACH LEARN CYB 2017. [DOI: 10.1007/s13042-017-0706-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
9
Investor sentiment identification based on the universum SVM. Neural Comput Appl 2016. [DOI: 10.1007/s00521-016-2684-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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