Manifold proximal support vector machine with mixed-norm for semi-supervised classification-Reference-Cited by-同舟云学术

Manifold proximal support vector machine with mixed-norm for semi-supervised classification

Published:2014-10-01 Issue:2 Volume:26 Page:399-407
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Zhang Zhiqiang,Zhen Ling,Deng Naiyang,Tan Junyan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-014-1728-4.pdf

Reference28 articles.

1. Chapelle O, Schölkopf B, Zien A (2010) Semi-supervised learning. MIT Press, MA

2. Zhu X, Ghahramani Z, Lafferty Z (2003) Semi-supervised learning using Gaussian fields and harmonic functions. In: Proceedings of the 20th international conference on machine learning (ICML), pp 912–919

3. Zhou Z-H, Li M (2010) Semi-supervised learning by disagreement. Knowl Inf Syst 24:415–439

4. Wang Y, Chen S, Zhou Z (2012) New semi-supervised classification method based on modified cluster assumption. IEEE Trans Neural Netw Learn Syst 23:689–702

5. Culp M, Michailidis G (2008) Graph-based semisupervised learning. IEEE Trans Pattern Anal Mach Intell 30:174–179

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Hotel Customer Relationship Management System Based on the Classification Algorithm;International Journal of Information Systems and Supply Chain Management;2019-04

2. Adaptive safety degree-based safe semi-supervised learning;International Journal of Machine Learning and Cybernetics;2018-01-24

3. Semi-supervised classification based on p-norm multiple kernel learning with manifold regularization;Journal of Systems Engineering and Electronics;2016-12-20