He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes.

Nagaratna B. Chittaragi, Shashidhar G. Koolagudi, Automatic dialect identification system for Kannada language using single and ensemble SVM algorithms, Language Resources and Evaluation, Vol. 54, No.

Support vector machines (SVM): SVM is a powerful classification and regression algorithm that performs well in dealing with non-linear relationships.