Study of implicit information semi-supervised learning algorithm

Implicit information semi supervised learning algorithm was studied. The implicit information semi supervised learning algorithm was used in support vector machine and random forest, which were called semi-SVM and semi-RF. The semi-SVM and semi-RF were evaluated by using UCI, the experimental results show that the semi-SVM and semi-RF are more effective and more precise. The semi-SVM and semi-RF were applied to classifying lung sounds, and verified the effect by using the actual lung sounds data. the quantity and quality of samples affect semi-SVM and semi-RF were analyzed. ©, 2015, Editorial Board of Journal on Communications. All right reserved.