An Algorithm to Improve the Recognizing Rate Based on Retraining Samples

As a new algorithm of pattern recognition, support vector machine (SVM) has a good performance in recognizing and generalizing. Like other algorithms, the method to improve its performance is a hotspot. A new algorithm based on retraining samples is presented, performance of recognition will improve at a little expense by increasing the proportion of support vectors in training samples. The algorithm based on the retraining samples provides a new idea for improving recognizing rate, and lays the foundation for auto-learning of SVM.