Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Bounded Twin Support Vector Machine"'
Publikováno v:
Information Sciences, 2020
In this paper we present an incremental variant of the Twin Support Vector Machine (TWSVM) called Fuzzy Bounded Twin Support Vector Machine (FBTWSVM) to deal with large datasets and learning from data streams. We combine the TWSVM with a fuzzy member
Externí odkaz:
http://arxiv.org/abs/1907.09613
Publikováno v:
In Information Sciences July 2020 526:20-38
Publikováno v:
Information Sciences. 526:20-38
In this paper, we present an incremental variant of the Twin Support Vector Machine (TWSVM) called Fuzzy Bounded Twin Support Vector Machine (FBTWSVM) to deal with large datasets and to learn from data streams. We combine the TWSVM with a fuzzy membe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a36c9a9f00c1803ab2815ec27a700bd8
https://doi.org/10.1016/j.ins.2020.03.038
https://doi.org/10.1016/j.ins.2020.03.038
Autor:
Divya Tomar, Sonali Agarwal
Publikováno v:
Egyptian Informatics Journal, Vol 16, Iss 1, Pp 55-69 (2015)
Twin Support Vector Machine (TWSVM) is an emerging machine learning method suitable for both classification and regression problems. It utilizes the concept of Generalized Eigen-values Proximal Support Vector Machine (GEPSVM) and finds two non-parall
Externí odkaz:
https://doaj.org/article/e04082cd9ce444608dec4d7e4cab9070
Autor:
Sonali Agarwal, Divya Tomar
Publikováno v:
Egyptian Informatics Journal, Vol 16, Iss 1, Pp 55-69 (2015)
Twin Support Vector Machine (TWSVM) is an emerging machine learning method suitable for both classification and regression problems. It utilizes the concept of Generalized Eigen-values Proximal Support Vector Machine (GEPSVM) and finds two non-parall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::556d7c83051894074a1c21222af11bc4
https://doi.org/10.1016/j.eij.2014.12.003
https://doi.org/10.1016/j.eij.2014.12.003
Autor:
Huang, Xuesheng1 (AUTHOR), Hu, YanQing2 (AUTHOR)
Publikováno v:
Computational Intelligence & Neuroscience. 10/4/2022, p1-11. 11p.
Autor:
Hu, Lisha1 (AUTHOR), Hu, Chunyu2 (AUTHOR) hcy@qlu.edu.cn, Huo, Zheng1 (AUTHOR), Jiang, Xinlong3 (AUTHOR), Wang, Suzhen1 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Sep2022, Vol. 10 Issue 17, p3113. 24p.
Publikováno v:
Computational Intelligence & Neuroscience. 8/3/2022, p1-7. 7p.
Akademický článek
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Publikováno v:
Neural Computing & Applications. Apr2021, Vol. 33 Issue 8, p3781-3798. 18p.