Description: Interactive support vector machine learning algorithm for supervised learning problems could solve some small problems in the study sample, it is to support vector machine (SVM) method based classifier will be designed into an interactive process, namely: 根据 for known samples for the SVM classifier design, active sampling select " useful" in the new sample, and the next step SVM classifier design. Compared with the general SVM, the method of sample required is greatly reduced, and may achieve better generalization ability. Text information filtering problem given to illustrate the effectiveness of the algorithm.
File list (Check if you may need any files):
交互支持向量机学习算法及其应用.pdf
Download