Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.
In essence, an SVM is a mathematical entity, an algorithm (or recipe) for maximizing a particular mathematical function with respect to a given collection of data. The basic ideas behind the SVM ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback