This paper presented a semi-supervised learning algorithm based on label propagation in a constrained range. First of all,it obtained the probability transition matrix by calculating the similarity matrix,and then detected the constrained region.Then it adopted a label propagation algorithm under the semi-supervised learning framework to compute path similarity,which determined several important paths of label propagation. As only it calculated a few important propagation path,therefore greatly reduced the ...
| 
推荐 
点击下列相关研究机构和相关文献作者，可以直接查到这些机构和作者被《中国知识资源总库》收录的其它文献，使您全面了解该机构和该作者的研究动态和历史。
