Sparse Probability Regression by Label Partitioning.
Shantanu ChakrabarttyGert Cauwenberghs JayadevaPublished in: COLT (2003)
Keyphrases
- sparse bayesian learning
- sparse regression
- sparse kernel
- sparse representation
- probability distribution
- regression model
- multi label
- canonical correlation analysis
- sparse data
- image labeling
- class membership
- ridge regression
- probability theory
- bayesian networks
- regression analysis
- support vector regression
- covariance function
- model selection
- high dimensional
- partitioning algorithm
- relevance vector machine
- polynomial regression
- regression problems
- simple linear
- linear regression
- support vector
- sparse matrix
- gaussian processes
- elastic net
- posterior probability
- text categorization
- image classification
- principal component analysis