WebDec 17, 2024 · In this paper, to improve the performance of capped L 1-norm twin support vector machine (CTSVM), we first propose a new robust twin bounded support vector machine (RTBSVM) by introducing the regularization term. The significant advantage of our RTBSVM over CTSVM is that the structural risk minimization principle is implemented. … Web[43] Xz A., Li Z., Ly A., Ctsvm: A robust twin support vector machine with correntropy-induced loss function for binary classification problems, Inf. Sci. (2024). Google Scholar …
Relationship between the accuracy and the parameters on some …
WebJun 1, 2024 · In this paper, to improve the performance of capped L1-norm twin support vector machine (CTSVM), we first propose a new robust twin bounded support vector machine (RTBSVM) by introducing the ... WebSep 17, 1979 · CTSVM is designed to perform the following optimizations: minimization of the C-loss function, the 2-norm regularization of model coefficients, and the distance between the positive (negative) samples and the positive-class (negative-class) hyperplane, which ensures that negative (positive) samples are far away from the positive (negative ... shari\\u0027s employee uniform
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WebDownload scientific diagram Relationship between the accuracy and the parameters on some typical datasets. The red line, the blue line,the black line and the green lineare for the vote dataset ... WebTo remedy it,this study introduces the correntropy-induced loss (C-loss) function, which is a non-convex, bounded, smooth loss function, and proposes the C-loss TSVM (CTSVM).CTSVM is designed to ... WebCN1162798C CNB021037957A CN02103795A CN1162798C CN 1162798 C CN1162798 C CN 1162798C CN B021037957 A CNB021037957 A CN B021037957A CN 02103795 A … shari\\u0027s enchanted designs