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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]
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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]
Affiliation(s)
- Kento Egashira
- Degree Programs in Pure and Applied Sciences, Graduate School of Science and Technology, University of Tsukuba, Ibaraki, Japan
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Mojiri A, Khalili A, Zeinal Hamadani A. New hard-thresholding rules based on data splitting in high-dimensional imbalanced classification. Electron J Stat 2022. [DOI: 10.1214/21-ejs1939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Arezou Mojiri
- Department of Mathematical Sciences, Isfahan University of Technology, Isfahan, 19395-5746, Iran
| | - Abbas Khalili
- Department of Mathematics and Statistics, McGill University, Montreal, H3A 0B9, Canada
| | - Ali Zeinal Hamadani
- Department of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan, 19395-5746, Iran
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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]
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Nakayama Y. Robust support vector machine for high-dimensional imbalanced data. COMMUN STAT-SIMUL C 2021. [DOI: 10.1080/03610918.2019.1586922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Yugo Nakayama
- Graduate School of Pure and Applied Sciences, University of Tsukuba, Tsukuba-shi, Ibaraki, Japan
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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]
Affiliation(s)
- Yugo Nakayama
- Graduate School of Pure and Applied Sciences, University of Tsukuba, Ibaraki, Japan
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Shen L, Yin Q. Data maximum dispersion classifier in projection space for high-dimension low-sample-size problems. Knowl Based Syst 2020. [DOI: 10.1016/j.knosys.2019.105420] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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Bias-corrected support vector machine with Gaussian kernel in high-dimension, low-sample-size settings. ANN I STAT MATH 2019. [DOI: 10.1007/s10463-019-00727-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Bolivar-Cime A, Cordova-Rodriguez LM. Binary discrimination methods for high-dimensional data with a geometric representation. COMMUN STAT-THEOR M 2018. [DOI: 10.1080/03610926.2017.1342838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- A. Bolivar-Cime
- Universidad Juárez Autónoma de Tabasco, División Académica de Ciencias Básicas, Cunduacán, Tabasco, México
| | - L. M. Cordova-Rodriguez
- Universidad Juárez Autónoma de Tabasco, División Académica de Ciencias Básicas, Cunduacán, Tabasco, México
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Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models. ANN I STAT MATH 2018. [DOI: 10.1007/s10463-018-0655-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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