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For: Nakayama Y, Yata K, Aoshima M. Bias-corrected support vector machine with Gaussian kernel in high-dimension, low-sample-size settings. ANN I STAT MATH 2020;72:1257-86. [DOI: 10.1007/s10463-019-00727-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]

For:	Nakayama Y, Yata K, Aoshima M. Bias-corrected support vector machine with Gaussian kernel in high-dimension, low-sample-size settings. ANN I STAT MATH 2020;72:1257-86. [DOI: 10.1007/s10463-019-00727-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]

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Cited by Other Article(s)

Zhang Z, He J, Cao J, Li S. Maximum Decentral Projection Margin Classifier for High Dimension and Low Sample Size problems. Neural Netw 2023;157:147-159. [DOI: 10.1016/j.neunet.2022.10.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 09/05/2022] [Accepted: 10/13/2022] [Indexed: 11/09/2022]

Wu Y, Xiong S. Kernel Reconstruction Learning. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]

Egashira K. Asymptotic properties of multiclass support vector machine under high dimensional settings. COMMUN STAT-SIMUL C 2022. [DOI: 10.1080/03610918.2022.2066693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]

Geometric classifiers for high-dimensional noisy data. J MULTIVARIATE ANAL 2022. [DOI: 10.1016/j.jmva.2021.104850] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]

Nakayama Y, Yata K, Aoshima M. Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings. J MULTIVARIATE ANAL 2021. [DOI: 10.1016/j.jmva.2021.104779] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]

Egashira K, Yata K, Aoshima M. Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data. JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCE 2021. [DOI: 10.1007/s42081-021-00135-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]

Nakayama Y. Support vector machine and optimal parameter selection for high-dimensional imbalanced data. COMMUN STAT-SIMUL C 2020. [DOI: 10.1080/03610918.2020.1813300] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]