Liu, F., Huang, X., Chen, Y., & Suykens, J. A. K. (2022). Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond. IEEE transactions on pattern analysis and machine intelligence, 44(10), 7128-7148. https://doi.org/10.1109/TPAMI.2021.3097011
Chicago Style (17th ed.) CitationLiu, Fanghui, Xiaolin Huang, Yudong Chen, and Johan A. K. Suykens. "Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond." IEEE Transactions on Pattern Analysis and Machine Intelligence 44, no. 10 (2022): 7128-7148. https://doi.org/10.1109/TPAMI.2021.3097011.
MLA (9th ed.) CitationLiu, Fanghui, et al. "Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond." IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 10, 2022, pp. 7128-7148, https://doi.org/10.1109/TPAMI.2021.3097011.