You might think your laptop is old but reliable, only to find that it suddenly became obsolete in 2026. Here's what you need ...
This package performs support vectors analysis for data sets with survival outcome. Three approaches are available in the package: The regression approach takes censoring into account when formulating ...
Tata Sierra has received a strong response from the market. On the first day of bookings, the SUV recorded more than 70,000 ...
Abstract: The generalization error bound of the support vector machine (SVM) depends on the ratio of the radius and margin. However, conventional SVM only considers ...
Abstract: Support Vector Machine (SVM) is originally a binary large-margin classifier emerged from the concept of structural risk minimization. Multiple solutions such as one-versus-one and one-versus ...