Explainable Machine Learning with Prior Knowledge: An Overview.
Katharina BeckhSebastian MüllerMatthias JakobsVanessa ToborekHanxiao TanRaphael FischerPascal WelkeSebastian HoubenLaura von RüdenPublished in: CoRR (2021)
Keyphrases
- machine learning
- prior knowledge
- machine learning methods
- pattern recognition
- data mining
- learning algorithm
- learning tasks
- domain knowledge
- active learning
- machine learning algorithms
- computer vision
- artificial intelligence
- machine learning and data mining
- learning problems
- bayesian framework
- machine learning approaches
- knowledge acquisition
- information extraction
- knowledge discovery
- natural language processing
- explanation based learning
- text classification
- inductive learning
- model selection
- shape prior
- semi supervised learning
- prior information
- data analysis
- database
- information retrieval
- decision trees
- image segmentation
- training data
- statistical methods
- artificial neural networks
- unsupervised learning
- knowledge representation
- level set
- computational intelligence
- supervised learning