Constrained Bayesian Active Learning of a Linear Classifier.
Anestis TsakmalisSymeon ChatzinotasBjörn E. OtterstenPublished in: ICASSP (2018)
Keyphrases
- linear classifiers
- active learning
- generalization error
- multi class
- random sampling
- hyperplane
- hyperparameters
- semi supervised
- training set
- supervised learning
- machine learning
- bayesian networks
- bayesian inference
- svm classifier
- labeled data
- sparse codes
- learning algorithm
- principal components
- unlabeled data
- model selection
- maximum likelihood
- learning process
- semi supervised learning