Support vector machines (SVMs ... promising applications in the life sciences? In essence, an SVM is a mathematical entity, an algorithm (or recipe) for maximizing a particular mathematical ...

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

A support vector machine (SVM) is a software system that can perform binary classification ... it's easy to classify a new input vector/point. There are several algorithms that can be used to ...

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 ...

Their revolutionary approach utilizes a form of machine learning called support vector machine (SVM ... ionosphere and geodynamic activity for several years. SVM is a machine-learning set of ...