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Variable Selection for Support Vector Machines in Moderately High Dimensions
The support vector machine (SVM) is a powerful binary classification tool with high accuracy and great flexibility. It has achieved great success, but its performance can be seriously impaired if many redundant covariates are included. Some efforts have been devoted to studying variable selection fo...
Tallennettuna:
| Julkaisussa: | J R Stat Soc Series B Stat Methodol |
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| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2015
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4709852/ https://ncbi.nlm.nih.gov/pubmed/26778916 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssb.12100 |
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