Support vector machines in A+
Alexander O. Skomorokhov, Alexander Nakhabov · ACM SIGAPL APL Quote Quad · 2004
This paper considers the implementation of Support Vector Machines (SVM), the new extensive class of data analysis methods. SVM have a number of advantages as compared with standard data mining techniques like artificial neural networks, for example. In the paper this methodology is described in details and implemented in A+ programming language in the step-by-step fashion.