and the extracted features are then classified using a support vector machine (SVM) with a radial basis function (RBF) kernel. The EffNet-SVM model outperformed eight state-of-the-art DL models from ...

→ For the SVM model, pixel data is first standardized using StandardScaler because SVMs are sensitive to feature scale. An RBF (Radial Basis Function) kernel is used as it handles non-linear decision ...

K-nearest neighbor and decision trees, that makes sense, but why is an RBF kernel SVM non-parametric whereas a linear SVM is parametric? In the RBF kernel SVM, we construct the kernel matrix by ...

vertical and lateral surrogate models between key parameters and optimization objectives are constructed by radial basis function neural networks (RBFNN) based on the K-means clustering algorithm, ...