Using ensemble of decision trees with SVM nodes to learn the behaviour of a transmission control software.
Tianyi GuanChristian W. FreyPublished in: ITSC (2014)
Keyphrases
- control software
- decision trees
- training data
- random forest
- ensemble methods
- base classifiers
- training set
- support vector
- ensemble classifier
- random forests
- support vector machine svm
- feature selection
- ensemble learning
- support vector machine
- imbalanced data
- decision forest
- max margin
- concept drifting data streams
- binary classification problems
- knn
- machine learning
- control system
- multi class
- decision tree classifiers
- kernel function
- generalization ability
- majority voting
- decision tree induction
- multi class classification
- data transmission
- neural network
- naive bayes
- feature vectors
- regression problems
- active learning
- feature space
- rule induction
- logistic regression
- ls svm
- hyperplane
- machine learning algorithms
- directed graph
- machine learning methods
- path planning