SVM Classification After the support vectors and best separating line have been determined, it's easy to classify a new input vector/point. There are several algorithms that can be used to determine ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

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, images ...