mod:survey paper link

notes/survey_readme.md

@@ -3,14 +3,14 @@
 这里汇总了一些我下载过或看过的综述survey文章。
 
 - 迁移学习的综述请看这里：[迁移学习综述](https://github.com/jindongwang/transferlearning#2迁移学习的综述文章)
-- [多标签学习A Review on Multi-Label Learning Algorithms_Zhang_Zhou_2014.pdf](https://github.com/jindongwang/MachineLearning/blob/master/papers/survey/A%20Review%20on%20Multi-Label%20Learning%20Algorithms_Zhang_Zhou_2014.pdf)
-- [多视角学习A survey of multi-view machine learning_Sun_2013.pdf](https://github.com/jindongwang/MachineLearning/blob/master/papers/survey/A%20survey%20of%20multi-view%20machine%20learning_Sun_2013.pdf)
-- [随机森林用于数据挖掘Mining data with random forests - A survey and results of new tests](https://github.com/jindongwang/MachineLearning/blob/master/papers/survey/Mining%20data%20with%20random%20forests%20-%20A%20survey%20and%20results%20of%20new%20tests_Verikas%20et%20al_2011.pdf)
-- [多任务学习Multi-task learning survey](https://github.com/jindongwang/MachineLearning/blob/master/papers/survey/Multi-task%20learning%20survey_.pdf)
-- [半监督学习Semi-supervised learning literature survey_Zhu_2005.pdf](https://github.com/jindongwang/MachineLearning/blob/master/papers/survey/Semi-supervised%20learning%20literature%20survey_Zhu_2005.pdf)
-- [稀疏子空间聚类Sparse Subspace Clustering_Elhamifar_Vidal_2013.pdf](https://github.com/jindongwang/MachineLearning/blob/master/papers/survey/Sparse%20Subspace%20Clustering_Elhamifar_Vidal_2013.pdf)
-- [聚类算法Survey of Clustering Algorithms_Xu_WunschII_2005.pdf](https://github.com/jindongwang/MachineLearning/blob/master/papers/survey/Survey%20of%20Clustering%20Algorithms_Xu_WunschII_2005.pdf)
-- [深度学习各种综述](https://github.com/jindongwang/MachineLearning/tree/master/papers/survey/deep%20learning)
-	- 最著名的综述：深度学习三巨头在2015年Nature上的[Deep learning](https://github.com/jindongwang/MachineLearning/blob/master/papers/survey/deep%20learning/LeCun%20et%20al_Deep%20learning_2015.pdf)
-	- 比较完整的综述：[Deep learning in neural networks - an overview](https://github.com/jindongwang/MachineLearning/blob/master/papers/survey/deep%20learning/Deep%20learning%20in%20neural%20networks%20-%20an%20overview.%20AMiner_.pdf)
+- [多标签学习A Review on Multi-Label Learning Algorithms_Zhang_Zhou_2014.pdf](https://mega.nz/#!ZWhijBoS!Ql7HCV_fX3e2SyrjOgmjDGtGgawGLBIuGPXvdPqXAOw)
+- [多视角学习A survey of multi-view machine learning_Sun_2013.pdf](https://mega.nz/#!IeB10Q5C!xH4iCXl0BAt3EAwx9Qbtu_AUTktGNaOvnAhe1K42FcE)
+- [随机森林用于数据挖掘Mining data with random forests - A survey and results of new tests](https://mega.nz/#!MCQnhazB!Iqx8gKpLNseoRo-qvkXj4G5LiZKNeFW9DNMjOhAus0M)
+- [多任务学习Multi-task learning survey](https://mega.nz/#!BLg0QCaD!Zwybj-5UW_8x4wDWsYvv6A0825co1lJ3CSCj2-jM1go)
+- [半监督学习Semi-supervised learning literature survey_Zhu_2005.pdf](https://mega.nz/#!gKYVFTrI!sLkVspn3uVwVHWVhv3XUObmFBIVRdlhbHuqQXzuht_4)
+- [稀疏子空间聚类Sparse Subspace Clustering_Elhamifar_Vidal_2013.pdf](https://mega.nz/#!0eAC2ajD!xWZhO9Pvh7qJwpHKkyYLnqKbLye9coSX0fd6WuyiIs4)
+- [聚类算法Survey of Clustering Algorithms_Xu_WunschII_2005.pdf](https://mega.nz/#!dKJAjAqJ!BwiVi3KGDaGXIWGlIiOo9cenHcTmtRyAxNW6WgKFQgE)
+- [深度学习各种综述](https://mega.nz/#F!NaxA0ADS!QIxYDA6A760jfPbFbElCYA)
+	- 最著名的综述：深度学习三巨头在2015年Nature上的[Deep learning](https://mega.nz/#!ZL4VFTiK!hcpVDDd9MtsFlBZHp-KaETk0bOAdcBaq_ioci75NrK8)
+	- 比较完整的综述：[Deep learning in neural networks - an overview](https://mega.nz/#!lLJj3Rwb!t6yO7hDDYZHYj1UDFX17gAjQkZ77mmXhQKa0aayDhJg)
 	- 此外，还有一些中英文的综述，都在上面目录里。