B, S., S, M., CC, B., P, K., KR, M., G, R., & AJ, S. (1999). Input space versus feature space in kernel-based methods. IEEE transactions on neural networks, 10(5), 1000. https://doi.org/10.1109/72.788641
Chicago Style (17th ed.) CitationB, Schölkopf, Mika S, Burges CC, Knirsch P, Müller KR, Rätsch G, and Smola AJ. "Input Space Versus Feature Space in Kernel-based Methods." IEEE Transactions on Neural Networks 10, no. 5 (1999): 1000. https://doi.org/10.1109/72.788641.
MLA (9th ed.) CitationB, Schölkopf, et al. "Input Space Versus Feature Space in Kernel-based Methods." IEEE Transactions on Neural Networks, vol. 10, no. 5, 1999, p. 1000, https://doi.org/10.1109/72.788641.
Warning: These citations may not always be 100% accurate.