机器学习综述文章

不介绍深度学习~

 

1.[多视角聚类学习-Multi-view Clustering: A Survey]

[https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8336846]

 2.[多视角学习-Multi-view learning overview: Recent progress and new challenges--Information Fusion]:

[https://ac.els-cdn.com/S1566253516302032/1-s2.0-S1566253516302032-main.pdf?_tid=72f478e6-bd96-4b4d-bc44-cdd16f159aad&acdnat=1525330460_02833aa955633588997c0df9dcff3b06]

3.[特征选择]

• [Feature selection in machine learning: A new perspective--Neurocomputing]:https://www.sciencedirect.com/science/article/pii/S0925231218302911/pdfft?md5=15dcd92975702a30f6605bb68c5d52f2&pid=1-s2.0-S0925231218302911-main.pdf
• [Feature Selection A Data Perspective--ACM Computing Surveys]:https://dl.acm.org/ft_gateway.cfm?id=3136625&ftid=1930859&dwn=1&CFID=31101965&CFTOKEN=488d36cc3b34ea34-701D0A82-CF12-1B22-EA6B83F14B40B3B8

4.[多任务学习-A Survey on Multi-Task Learning]

http://xueshu.baidu.com/s?wd=paperuri%3A%285b79392e35b15f3053131bb153240def%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Farxiv.org%2Fpdf%2F1707.08114&ie=utf-8&sc_us=524904923842987401

5.[弱监督学习-A brief introduction to weakly supervised learning--National Science Review]

http://cs.nju.edu.cn/_upload/tpl/01/0b/267/template267/zhouzh.files/publication/nsr18.pdf

6.[DC 规划- DC programming and DCA: thirty years of development--Mathmatical Programming]

https://link.springer.com/content/pdf/10.1007%2Fs10107-018-1235-y.pdf

7.[非负矩阵分解-Nonnegative Matrix Factorization:A Comprehensive Review--IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING]

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6165290

8.[字典学习-A Survey of Dictionary Learning Algorithms for Face Recognition]

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903603

9.[子空间聚类-A Survey on Sparse Subspace Clustering]

http://search.cnki.net/down/default.aspx?filename=MOTO201508001&dbcode=CJFD&year=2015&dflag=pdfdown

 10.[典型相关性分析-A Tutorial on Canonical Correlation Methods--ACM Computing Surveys]

https://dl.acm.org/ft_gateway.cfm?id=3136624&ftid=1926087&dwn=1&CFID=31101965&CFTOKEN=488d36cc3b34ea34-701D0A82-CF12-1B22-EA6B83F14B40B3B8

11.[多标签学习-A Tutorial on Multilabel Learning--ACM Computing Surveys]

https://dl.acm.org/ft_gateway.cfm?id=2716262&ftid=1565362&dwn=1&CFID=31101965&CFTOKEN=488d36cc3b34ea34-701D0A82-CF12-1B22-EA6B83F14B40B3B8

持续更新中......