Active learning and basis selection for kernel-based linear models: a Bayesian perspective.
John W. PaisleyXuejun LiaoLawrence CarinPublished in: IEEE Trans. Signal Process. (2010)
Keyphrases
- linear models
- active learning
- gaussian processes
- variable selection
- linear model
- linear regression
- gaussian process
- bayesian networks
- nonlinear models
- semi supervised
- supervised learning
- maximum likelihood
- machine learning
- support vector machine
- closed form
- hyperparameters
- random sampling
- kernel methods
- data sets
- decision trees
- data mining