Probabilistic Scoring Lists for Interpretable Machine Learning.
Jonas HanselleJohannes FürnkranzEyke HüllermeierPublished in: DS (2023)
Keyphrases
- machine learning
- bayesian networks
- uncertain data
- natural language processing
- generative model
- artificial intelligence
- decision trees
- information extraction
- support vector machine
- probabilistic model
- neural network
- knowledge acquisition
- data driven
- computational intelligence
- knowledge representation
- posterior probability
- machine learning approaches
- pattern recognition
- handling uncertainty
- learning problems
- machine learning and data mining
- supervised machine learning
- kernel methods
- data mining
- machine learning methods
- transfer learning
- semi supervised learning
- active learning
- training data
- learning algorithm
- machine learning algorithms
- information theoretic
- text classification
- learning tasks
- knowledge discovery
- conditional probabilities
- feature space
- computational biology
- natural language
- probabilistic reasoning
- explanation based learning
- feature selection