Mixture of Decision Trees for Interpretable Machine Learning.
Simeon BrüggenjürgenNina SchaafPascal KerschkeMarco F. HuberPublished in: CoRR (2022)
Keyphrases
- decision trees
- machine learning
- classification rules
- machine learning algorithms
- feature construction
- pattern recognition
- inductive learning
- decision tree learning
- machine learning methods
- decision tree induction
- mixture model
- learning algorithm
- decision tree construction
- naive bayes
- semi supervised learning
- text classification
- decision rules
- predictive accuracy
- knowledge discovery
- random forest
- induction algorithms
- cost sensitive learning
- gaussian mixture model
- learning tasks
- ensemble methods
- gaussian distribution
- reinforcement learning
- computer science
- decision tree algorithm
- training set
- active learning
- learning problems
- multi class
- natural language processing
- knowledge acquisition