Kernel support vector machines (KSVMs) Machine Learning
noun phrase
Definition: Support vector machines that use a kernel function to implicitly map data into a higher-dimensional feature space, enabling nonlinear classification boundaries without explicitly computing the transformed features [Du et al. 2024].
Example in context: “The kernel SVM is implemented in scikit-learn. We select the Gaussian kernel with kernel parameter tuned by cross-validation…” [Dong et al. 2025]
Synonyms: kernel SVMs; KSVMs
Related terms: SVM; kernel trick; RBF kernel