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Bayesian Non-linear Support Vector Machine for High-Dimensional Data with Incorporation of Graph Information on Features
Support vector machine (SVM) is a popular classification method for analysis of high dimensional data such as genomics data. Recently a number of linear SVM methods have been developed to achieve feature selection through either frequentist regularization or Bayesian shrinkage, but the linear assump...
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| 發表在: | Proc IEEE Int Conf Big Data |
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| Main Authors: | , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7243270/ https://ncbi.nlm.nih.gov/pubmed/32455423 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/bigdata47090.2019.9006473 |
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