An unsupervised approach to learn the kernel functions: from global influence to local similarity
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-010-0411-7.pdf
Reference42 articles.
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3. Ben-Hur A, Horn D, Siegelmann HT, Vapnik V (2002) Support vector clustering. J Mach Learn Res 2:125–137
4. Burges CJ (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Discov 2:121–167
5. Burges CJC (1999) Geometry and invariance in kernel based methods. pp 89–116
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1. A novel robust recommendation method based on kernel matrix factorization;Journal of Intelligent & Fuzzy Systems;2017-02-24
2. A survey of the state of the art in learning the kernels;Knowledge and Information Systems;2011-05-19
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