Cite
Indefinite kernels in least squares support vector machines and principal component analysis.
MLA
Huang, Xiaolin, et al. “Indefinite Kernels in Least Squares Support Vector Machines and Principal Component Analysis.” Applied & Computational Harmonic Analysis, vol. 43, no. 1, July 2017, pp. 162–72. EBSCOhost, https://doi.org/10.1016/j.acha.2016.09.001.
APA
Huang, X., Maier, A., Hornegger, J., & Suykens, J. A. K. (2017). Indefinite kernels in least squares support vector machines and principal component analysis. Applied & Computational Harmonic Analysis, 43(1), 162–172. https://doi.org/10.1016/j.acha.2016.09.001
Chicago
Huang, Xiaolin, Andreas Maier, Joachim Hornegger, and Johan A.K. Suykens. 2017. “Indefinite Kernels in Least Squares Support Vector Machines and Principal Component Analysis.” Applied & Computational Harmonic Analysis 43 (1): 162–72. doi:10.1016/j.acha.2016.09.001.