Active learning using transductive sparse Bayesian regression.
Youngdoo SonJaewook LeePublished in: Inf. Sci. (2016)
Keyphrases
- active learning
- semi supervised
- relevance vector machine
- unlabeled data
- transductive learning
- transductive inference
- labeled data
- active sampling
- regression algorithm
- semi supervised learning
- support vector
- regression model
- learning strategies
- gaussian processes
- selective sampling
- supervised learning
- support vector machine
- support vector regression
- training set
- learning algorithm
- ridge regression
- simple linear
- regression problems
- random sampling
- nonlinear regression
- imbalanced data classification
- machine learning
- regression analysis
- model selection
- multi task
- linear regression
- pool based active learning
- learning process
- active learning strategies
- relevance feedback
- batch mode
- regression method
- experimental design
- learning problems
- data sets
- text classification
- regression methods
- bayesian learning
- co training