Knowledge-guided bayesian support vector machine for high-dimensional data with application to analysis of genomics data

W Sun, C Chang, Y Zhao, Q Long - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
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 …
被引用次数：13 相关文章
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[HTML][HTML] Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data

W Sun, C Chang, Y Zhao, Q Long - … IEEE International Conference …, 2018 - ncbi.nlm.nih.gov
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 …

Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data

W Sun, C Chang, Y Zhao… - … Conference on Big …, 2018 - pubmed.ncbi.nlm.nih.gov
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 …

Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data.

W Sun, C Chang, Y Zhao, Q Long - … .. IEEE International Conference …, 2018 - europepmc.org
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 …

Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data

W Sun, C Chang, Y Zhao, Q Long - … Conference on Big Data (Big Data …, 2018 - computer.org
State-of-the-art semantic segmentation approaches increase the receptive field of their
models by using either a downsampling path composed of poolings/strided convolutions or …