Orthogonal Least Square with Boosting for Regression.
Sheng ChenXunxian WangDavid J. BrownPublished in: IDEAL (2004)
Keyphrases
- least squares
- linear regression
- gradient boosting
- kernel ridge regression
- relevance vector machine
- regression problems
- locally weighted
- regression model
- learning algorithm
- regression analysis
- semi parametric
- model selection
- ensemble methods
- polynomial regression
- ridge regression
- regression methods
- base learners
- ensemble learning
- classification and regression trees
- loss function
- tree induction
- regression function
- regression algorithm
- decision tree ensembles
- machine learning
- simple linear
- gaussian processes
- feature selection
- boosting algorithms
- regression trees
- partial least squares
- ensemble classifier
- nonlinear regression
- base classifiers
- maximum entropy
- support vector machine
- support vector
- decision trees
- density ratio
- neural network