VMR supplant SVM

At the moment, the most common implementation for an one artificial neuron learning used by support vector machine — SVM by Vladimir Vapnik. SVM's algorithm find a minimum of structural risk. In order to obtain the nonlinearity of input vectors in SVM used kernel tricks, but very carefully. Incorrectly chosen kernel tricks can cause overfitting.