An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
Keerthi, S. S., Sindhwani, Vikas, Chapelle, Olivier
–Neural Information Processing Systems
We consider the task of tuning hyperparameters in SVM models based on minimizing a smooth performance validation function, e.g., smoothed k-fold cross-validation error, using nonlineaI optimization techniques.
Neural Information Processing Systems
Dec-31-2007