Semi-supervised regression based on support vector machine co-training

This paper combines Support Vector Machine(SVM) with semi-supervised theory,brings out a semi-supervised regression model based on SVM co-training,using two support vector regressors co-training.Using experimental datasets to compare with supervised SVM model and semi-supervised self-training model,the experimental results show that semi-supervised regression model based on SVM co-training can improve regression estimates when lack of labeled samples.