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

SVM algorithm based on statistical learning theory was proposed by Vapnik, mainly used for pattern recognition and classification.

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.

By employing Support Vector Machine (SVM) algorithms, a program was developed capable of swiftly classifying hundreds of transmission electron microscopy (TEM) images of nanoparticles, reducing the ...

The team has been studying the relationship between TEC in the ionosphere and geodynamic activity for several years. SVM is a machine-learning set of algorithms that can be used to predict the ...