Gaussian Process Multi-task Learning Using Joint Feature Selection.
P. K. SrijithShirish K. ShevadePublished in: ECML/PKDD (3) (2014)
Keyphrases
- multi task learning
- gaussian process
- gaussian processes
- feature selection
- multi task
- model selection
- covariance function
- regression model
- hyperparameters
- semi supervised
- approximate inference
- multi class
- text categorization
- bayesian framework
- dirichlet process
- learning tasks
- latent variables
- support vector
- machine learning
- feature set
- cross validation
- learning problems
- feature subset
- dimensionality reduction
- supervised learning
- support vector machine
- maximum a posteriori
- posterior distribution
- feature vectors
- closed form
- high dimensional
- text classification