Algebraically explainable controllers: decision trees and support vector machines join forces.
Florian JüngermannJan KretínskýMaximilian WeiningerPublished in: Int. J. Softw. Tools Technol. Transf. (2023)
Keyphrases
- decision trees
- support vector
- large margin classifiers
- learning machines
- logistic regression
- machine learning
- decision tree induction
- predictive accuracy
- support vector machine
- cross validation
- query optimization
- support vectors
- generalization ability
- feature selection
- training data
- training examples
- reinforcement learning
- control system
- random forest
- generalization bounds
- ensemble methods
- classification accuracy
- data mining methods
- maximum margin
- kernel function
- rule induction
- multi class classification
- iterative methods
- cartesian product
- hyperplane
- join algorithms
- binary classification
- base classifiers
- rule sets
- regression trees
- feature construction
- data sets
- decision tree learning
- training set
- experimental verification
- boosted decision trees