Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small
C. Lameiro, P.J. Schreier, in: Proc.\ Asilomar Conf.\ Signals Syst.\ Computers, Pacific Grove, CA, USA, 2016.
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Lameiro, Christian;
Schreier, Peter J.
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Proc.\ Asilomar Conf.\ Signals Syst.\ Computers
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Lameiro C, Schreier PJ. Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small. In: Proc.\ Asilomar Conf.\ Signals Syst.\ Computers. ; 2016.
Lameiro, C., & Schreier, P. J. (2016). Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small. Proc.\ Asilomar Conf.\ Signals Syst.\ Computers.
@inproceedings{Lameiro_Schreier_2016, place={Pacific Grove, CA, USA}, title={Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small}, booktitle={Proc.\ Asilomar Conf.\ Signals Syst.\ Computers}, author={Lameiro, Christian and Schreier, Peter J.}, year={2016} }
Lameiro, Christian, and Peter J. Schreier. “Cross-Validation Techniques for Determining the Number of Correlated Components between Two Data Sets When the Number of Samples Is Very Small.” In Proc.\ Asilomar Conf.\ Signals Syst.\ Computers. Pacific Grove, CA, USA, 2016.
C. Lameiro and P. J. Schreier, “Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small,” 2016.
Lameiro, Christian, and Peter J. Schreier. “Cross-Validation Techniques for Determining the Number of Correlated Components between Two Data Sets When the Number of Samples Is Very Small.” Proc.\ Asilomar Conf.\ Signals Syst.\ Computers, 2016.
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