Co-regularized kernel ensemble regression.
Dickson Keddy WornyoXiang-jun ShenYong DongLiangjun WangShu-Cheng HuangPublished in: World Wide Web (2019)
Keyphrases
- regularized kernel
- regression problems
- linear regression
- regression model
- cross validation
- ensemble learning
- random forest
- ensemble methods
- model selection
- training data
- learning algorithm
- classification and regression problems
- polynomial regression
- base learners
- neural network
- random forests
- genetic programming
- ensemble pruning
- support vector
- regression function
- support vector regression
- regression algorithm
- prediction accuracy
- locally weighted
- feature selection
- regression methods
- classifier ensemble
- reproducing kernel hilbert space
- neural network ensemble
- partial least squares
- training set
- aggregating algorithm
- base classifiers