The optimal parameters and performance of BPB-PPMS.
收藏Figshare2015-12-02 更新2026-04-29 收录
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The optimal parameter combination was determined in a grid-based manner introduced in LIBSVM packages[11].(a)Here, input window size for SVMs is two times sliding window size.(b)RBF, Radial Basis Function .(c), the penalty parameter of the error term in objective function.(d), the parameter in Radial Basis Function.(e)AUC, the area under ROC.(f)MCC, Matthews Correlation Coefficient.
创建时间：
2015-12-02
