Sparse Point Estimation for Bayesian Regression via Simulated Annealing.
Sudhir RamanVolker RothPublished in: DAGM/OAGM Symposium (2012)
Keyphrases
- simulated annealing
- sparse bayesian learning
- relevance vector machine
- regularized regression
- gaussian processes
- bayesian estimation
- bayesian learning
- generalized linear models
- regression model
- tabu search
- sparse regression
- metaheuristic
- nonparametric regression
- estimation problems
- genetic algorithm
- regression analysis
- bayesian networks
- markov random field prior
- semi parametric
- dense motion estimation
- estimation accuracy
- bayesian inference
- evolutionary algorithm
- model selection
- parameter estimation
- sparse data
- support vector regression
- global optimum
- hill climbing
- canonical correlation analysis
- regression method
- regression algorithm
- simulated annealing algorithm
- covariance function
- linear regression
- posterior probability
- logistic regression
- estimation error
- markov random field
- semi supervised