Benefits of Using Multiple Post-Hoc Explanations for Machine Learning.
Corentin BoidotOlivier AugereauPierre De LoorRiwal LefortPublished in: ICMLA (2023)
Keyphrases
- machine learning
- post hoc
- active learning
- pattern recognition
- learning algorithm
- learning tasks
- data analysis
- domain knowledge
- knowledge discovery
- information extraction
- neural network
- genetic algorithm
- supervised machine learning
- explanation based learning
- machine learning approaches
- transfer learning
- text classification
- computational intelligence
- knowledge representation
- database
- real world
- metadata
- decision making
- artificial intelligence
- information retrieval