Chapelle, O Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society; Max Planck Institute for Biological Cybernetics, Max Planck Society;
https://papers.nips.cc/paper/3059-an-efficient-method-for-gradient-based-adaptation-of-hyperparameters-in-svm-models.pdf (Verlagsversion)
Keerthi, S., Sindhwani, V., & Chapelle, O. (2007). An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models. Advances in Neural Information Processing Systems 19, 673-680.