(Decision and regression) tree ensemble based kernels for regression and classification.
Dai FengRichard BaumgartnerPublished in: CoRR (2020)
Keyphrases
- regression problems
- regression trees
- decision rules
- support vector
- random forests
- linear regression
- cross validation
- tree induction
- genetic programming
- regression model
- decision trees
- feature selection
- model selection
- learning machines
- training set
- classification accuracy
- classification algorithm
- support vector machine
- machine learning algorithms
- input space
- neural network
- linear model
- random forest
- multi task
- classification models
- supervised learning
- higher order
- svm classifier
- feature space
- induction algorithms
- kernel function