A Primal Framework for Indefinite Kernel Learning-Reference-Cited by-同舟云学术

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A Primal Framework for Indefinite Kernel Learning

Published:2019-06-10 Issue:1 Volume:50 Page:165-188
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Xue Hui^ORCID,Wang Lin,Chen Songcan,Wang Yunyun

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-019-10019-7.pdf

Reference59 articles.

1. Ackermann MR, Blömer J, Sohler C (2010) Clustering for metric and nonmetric distance measures. ACM Trans Algorithms 6(4):59

2. Aiolli F, Donini M (2015) EasyMKL: a scalable multiple kernel learning algorithm. Neurocomputing 169:215–224

3. Alabdulmohsin IM, Gao X, Zhang X (2014) Support vector machines with indefinite kernels. In: Proceedings of 6th Asian conference on machine learning

4. Anzai Y (2012) Pattern recognition and machine learning. Elsevier, Amsterdam

5. Balcan MF, Blum A, Srebro N (2008) A theory of learning with similarity functions. Mach Learn 1–2:89–112

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