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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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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Proc IEEE Int Conf Big Data
Prif Awduron: Sun, Wenli, Chang, Changgee, Zhao, Yize, Long, Qi
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: 2019
Pynciau:
Mynediad Ar-lein: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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