A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning.
Carine HueMarc BoulléPublished in: J. Mach. Learn. Res. (2007)
Keyphrases
- bayesian networks
- sparse bayesian learning
- regression model
- bayesian decision
- posterior probability
- dynamic programming
- probabilistic model
- gaussian processes
- bayesian model selection
- optimal solution
- ranked list
- support vector regression
- closed form
- prior probabilities
- regression problems
- linear regression
- neural network
- model selection
- data driven
- least squares
- machine learning