Kernel methods and support vector machines (SVMs) serve as cornerstones in modern machine learning, offering robust techniques for both classification and regression tasks. At their core, kernel ...

Support vector machines (SVMs) constitute a class of supervised learning models designed to perform classification by constructing a decision boundary, or hyperplane, that optimally separates data ...