Schölkopf, B Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society; Max Planck Institute for Biological Cybernetics, Max Planck Society;
https://www.sciencedirect.com/science/article/pii/S0893608004002102 (出版社版)
Chalimourda, A., Schölkopf, B., & Smola, A. (2005). Experimentally optimal ν in support vector regression for different noise models and parameter settings. Neural networks, 18(2), 205-205. doi:10.1016/j.neunet.2004.11.001.
