Probabilistic Scoring Lists for Interpretable Machine Learning.
Jonas HanselleStefan HeidJohannes FürnkranzEyke HüllermeierPublished in: CoRR (2024)
Keyphrases
- machine learning
- machine learning methods
- knowledge acquisition
- bayesian networks
- uncertain data
- inductive learning
- pattern recognition
- data analysis
- learning tasks
- machine learning algorithms
- supervised machine learning
- explanation based learning
- machine learning approaches
- context sensitive
- application of machine learning methods
- information theoretic
- learning algorithm
- decision trees
- computer vision
- genetic programming
- unsupervised learning
- text classification
- learning systems
- data driven
- text mining
- natural language processing
- supervised learning
- information extraction
- knowledge representation
- probabilistic reasoning
- feature selection
- information systems
- scoring model