More sophisticated approaches also exist, which generalize the SVM optimization algorithm to account for multiple classes. For data sets of thousands of examples, solving the SVM optimization ...

One of the main reasons is that many loss functions are too sensitive to sample points far from their classes. In this paper, ...

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 ...