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Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data
Support vector machine (SVM) is a popular classification method for the analysis of wide range of data including big data. Many SVM methods with feature selection have been developed under frequentist regularization or Bayesian shrinkage frameworks. On the other hand, the importance of incorporating...
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| Publicado no: | Proc IEEE Int Conf Big Data |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6486656/ https://ncbi.nlm.nih.gov/pubmed/31041431 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BigData.2018.8622484 |
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