Independence test and canonical correlation analysis based on the alignment between kernel matrices for multivariate functional data-Reference-Cited by-同舟云学术

Independence test and canonical correlation analysis based on the alignment between kernel matrices for multivariate functional data

Published:2018-11-10 Issue:1 Volume:53 Page:475-499
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Górecki Tomasz^ORCID,Krzyśko Mirosław,Wołyński Waldemar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/content/pdf/10.1007/s10462-018-9666-7.pdf

Reference40 articles.

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3. Chang B, Kruger U, Kustra R, Zhang J (2013) Canonical correlation analysis based on hilbert-schmidt independence criterion and centered kernel target alignment. In: Proceedings of the 30th international conference on machine learning, Atlanta, Georgia. JMLR: W and CP 28(2), 316–324

4. Cortes C, Mohri M, Rostamizadeh A (2012) Algorithms for learning kernels based on centered alignment. J Mach Learn Res 13:795–828

5. Cristianini N, Shawe-Taylor J, Elisseeff A, Kandola JS (2001) On kernel-target alignment. In: NIPS-2001, 367–373

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