Multi-Task Learning for Classification with Dirichlet Process Priors.
Ya XueXuejun LiaoLawrence CarinBalaji KrishnapuramPublished in: J. Mach. Learn. Res. (2007)
Keyphrases
- dirichlet process
- multi task learning
- multi task
- gaussian processes
- learning tasks
- bayesian model
- mixture model
- learning problems
- sampling algorithm
- supervised learning
- decision trees
- latent topics
- theoretical analysis
- support vector machine
- machine learning algorithms
- transfer learning
- high order
- posterior distribution
- feature selection
- probabilistic model
- variational inference
- classification models
- class labels
- training set
- bayesian framework
- text classification
- multi class
- learning models
- prior knowledge
- metric learning
- markov chain monte carlo
- learning algorithm
- variational methods
- model selection