Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter.
Puja SahuNandyala HemachandraPublished in: ACML (2019)
Keyphrases
- regularization parameter
- support vector
- cross validation
- hyperparameters
- pac bayesian
- svm classifier
- image restoration
- support vector machine svm
- training data
- support vector machine
- generalization bounds
- posterior distribution
- feature selection
- training set
- generalization ability
- distribution free
- linear classifiers
- closed form
- machine learning
- feature vectors
- feature subset
- worst case
- knn
- missing values
- bayesian networks
- optimal solution
- loss function
- kernel function
- feature extraction
- em algorithm
- particle filter