Support Vector Machine Reference Manual
The Support Vector Machine (SVM) is a new type of learning machine. The SVM is a general architecture that can be applied to pattern recognition, regression estimation and other problems. The following researchers were involved in the development of the SVM: The Support Vector Machine (SVM) program allows a user to carry out pattern recognition and regression estimation, using support vector techniques on some given data. If you have any questions not answered by the documentation, you can e-mail us at: