Boosting regression methods based on a geometric conversion approach: Using SVMs base learners.
Feng GaoPeng KouLin GaoXiaohong GuanPublished in: Neurocomputing (2013)
Keyphrases
- base learners
- regression methods
- regression problems
- linear regression
- generalization ability
- logistic regression
- least squares
- support vector
- ensemble methods
- random forests
- classification algorithm
- regression model
- ensemble learning
- cost sensitive
- regression method
- learning scheme
- decision trees
- training data
- cross validation
- meta learning
- support vector machine
- feature selection
- kernel function
- kernel methods
- training process
- multi class
- knn
- neural network
- k nearest neighbour
- loss function
- machine learning
- pairwise
- support vector regression
- multi task
- feature space
- base classifiers
- learning tasks
- svm classifier
- machine learning algorithms
- support vector machine svm