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Support vector machine with quantile hyper-spheres for pattern classification
This paper formulates a support vector machine with quantile hyper-spheres (QHSVM) for pattern classification. The idea of QHSVM is to build two quantile hyper-spheres with the same center for positive or negative training samples. Every quantile hyper-sphere is constructed by using pinball loss ins...
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| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6377146/ https://ncbi.nlm.nih.gov/pubmed/30768635 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0212361 |
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