Bayesian Variable Selection in Linear Regression in One Pass for Large Datasets.
Carlos OrdonezCarlos Garcia-AlvaradoVeerabhadran BaladandayuthapaniPublished in: ACM Trans. Knowl. Discov. Data (2014)
Keyphrases
- linear regression
- variable selection
- linear models
- least squares
- input variables
- cross validation
- regression problems
- model selection
- high dimensional
- dimension reduction
- ridge regression
- regression methods
- maximum likelihood
- ls svm
- regression trees
- high dimensional data
- bayesian networks
- regression method
- low dimensional
- pattern recognition
- nonlinear regression
- feature selection
- data sets
- logistic regression models
- support vector
- machine learning