Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter.
Puja SahuNandyala HemachandraPublished in: CoRR (2019)
Keyphrases
- regularization parameter
- support vector
- cross validation
- pac bayesian
- hyperparameters
- svm classifier
- training data
- image restoration
- feature selection
- support vector machine svm
- training set
- posterior distribution
- decision trees
- distribution free
- support vector machine
- closed form
- machine learning
- image processing
- feature subset
- knn
- feature space
- multi class
- linear classifiers
- prior knowledge
- optimal solution
- kernel methods
- kernel function
- data sets
- worst case
- statistical learning theory