On Computing Probabilistic Explanations for Decision Trees.
Marcelo ArenasPablo BarcelóMiguel A. Romero OrthBernardo SubercaseauxPublished in: NeurIPS (2022)
Keyphrases
- decision trees
- bayesian networks
- machine learning
- probabilistic model
- generative model
- probabilistic approaches
- domain knowledge
- feature construction
- decision tree induction
- predictive accuracy
- generating explanations
- data sets
- rule induction
- posterior probability
- conditional probabilities
- rule sets
- classification rules
- naive bayes
- graphical models
- artificial intelligence
- information retrieval