Mixture of Decision Trees for Interpretable Machine Learning.
Simeon BrüggenjürgenNina SchaafPascal KerschkeMarco F. HuberPublished in: ICMLA (2022)
Keyphrases
- decision trees
- machine learning
- machine learning algorithms
- classification rules
- mixture model
- decision tree induction
- naive bayes
- predictive accuracy
- decision tree learning
- feature construction
- decision tree construction
- learning algorithm
- pattern recognition
- machine learning methods
- decision rules
- machine learning approaches
- ensemble methods
- data mining methods
- random forest
- semi supervised learning
- rule induction
- explanation based learning
- data mining
- classification trees
- cost sensitive learning
- constructive induction
- inductive bias
- decision tree induction algorithm
- learning tasks
- computer science
- training set
- knowledge representation
- knowledge discovery
- computational intelligence
- gaussian mixture model
- natural language processing
- supervised learning
- information extraction
- expectation maximization
- attribute selection
- feature vectors
- decision tree algorithm
- inductive learning
- computer vision
- neural network
- multivariate decision trees