Support vector machines (SVMs) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. C/C++ Language 1. SVMlight SVMlight , by Joachims, is one of the most widely used SVM classification and regression packages. It has a fast optimization algorithm, can be applied to very large datasets,…
Most Popular Content on DSC
To not miss this type of content in the future, subscribe to our newsletter.
Other popular resources
Most popular articles