He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes. They can come in handy for analyzing text ...

A support vector machine ... [Click on image for larger view.] Figure 2. SVM Classification After the support vectors and best separating line have been determined, it's easy to classify a new input ...

Automatic classification of pathology and radiology images ... most common algorithms are Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, and Support Vector Machine (SVM).