SVM Arithmetic and It´s Application in Many Species Letter Image Recognition

Support vector machine (SVM) is a new statistical learning method. Compared with the classical machine learning methods, the learning discipline of SVM is to minimize the structural risk instead of empirical risk used in the learning discipline of classical methods, and SVM gives better generative performance. Because SVM algorithm is a convex quadratic optimization problem, the local optimal solution is certainly the global optimal one. we often study two species problem, even we can classify two species correctly, but it doesn´t mean we can classify many species. In this paper, we introduce SVM arithmetic and give a example how to classify many species problem by SVM arithmetic.