A support vector machine is a classification algorithm for binary classification problems and is based on the theory of structural risk minimization. Of course, SVM can also be extended to multiclass ...

Feature selection is a critical component of machine learning and data mining to remove redundant and irrelevant features from a dataset. The Chimp Optimization Algorithm (CHoA) is widely applicable ...