help new tasks in another or changing environment. In this paper, a novel transfer learning
approach is presented and the transfer knowledge will be applied to text categorization.
First, we will learn the transfer knowledge from different category data respectively, and then,
different classifiers will be constructed, final, transfer knowledge will guide other
categorization task. We compared with SVM, K-NN and Centroid methods. Experiments …