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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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Bibliografiske detaljer
Udgivet i:Proc IEEE Int Conf Big Data
Main Authors: Sun, Wenli, Chang, Changgee, Zhao, Yize, Long, Qi
Format: Artigo
Sprog:Inglês
Udgivet: 2019
Fag:
Online adgang: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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