Support Vector Machines (SVMs) are powerful supervised learning models whose predictive performance depends critically on the choice of hyperparameters, notably the regularisation constant (C) and ...

Exponential kernels are widely recognized as an effective choice in kernel-based methods. In learning algorithms and artificial intelligence, choosing an appropriate bandwidth parameter for a kernel ...