An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models.
S. Sathiya KeerthiVikas SindhwaniOlivier ChapellePublished in: NIPS (2006)
Keyphrases
- support vector machine svm
- prior knowledge
- support vector machine
- pairwise
- model selection
- hyperparameters
- bayesian framework
- prior information
- decision function
- ls svm
- probabilistic model
- support vector
- bayesian methods
- input data
- parameter estimation
- kernel function
- cross validation
- edge detection
- bayesian inference
- machine learning
- data sets