Harnessing Prior Knowledge for Explainable Machine Learning: An Overview.
Katharina BeckhSebastian MüllerMatthias JakobsVanessa ToborekHanxiao TanRaphael FischerPascal WelkeSebastian HoubenLaura von RüdenPublished in: SaTML (2023)
Keyphrases
- machine learning
- prior knowledge
- machine learning methods
- decision trees
- prior information
- learning algorithm
- pattern recognition
- active learning
- domain knowledge
- information extraction
- collective intelligence
- bayesian framework
- learning systems
- machine learning algorithms
- knowledge acquisition
- computer vision
- reinforcement learning
- machine learning approaches
- latent variables
- computer science
- data analysis
- text classification
- semi supervised
- model selection
- semi supervised learning
- knowledge representation
- image sequences
- learning tasks
- feature selection
- information systems
- natural language processing
- inductive learning
- supervised learning