Efficient Bayesian Sequential Classification Under the Markov Assumption for Various Loss Functions.
Paul RademacherKevin WagnerPublished in: IEEE Signal Process. Lett. (2020)
Keyphrases
- loss function
- support vector
- hinge loss
- decision trees
- bayes rule
- classification accuracy
- kernel classifiers
- update rules
- support vector machine
- support vector machine svm
- pairwise
- learning to rank
- partially labeled data
- loss minimization
- risk minimization
- squared error
- logistic regression
- bayesian networks
- benchmark datasets
- training samples
- model selection
- feature extraction
- machine learning
- decision boundary
- machine learning algorithms
- feature vectors
- feature space