Manifold Regularized Proximal Support Vector Machine via Generalized Eigenvalue
Proximal support vector machine via generalized eigenvalue (GEPSVM) is a recently proposed binary classification technique which aims to seek two nonparallel planes so that each one is closest to one of the two datasets while furthest away from the other. In this paper, we proposed a novel method ca...
| Huvudupphovsmän: | , , , , , |
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| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
Springer
2016-12-01
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| Serie: | International Journal of Computational Intelligence Systems |
| Ämnen: | |
| Länkar: | https://www.atlantis-press.com/article/25868748/view |