On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks.
Marina VelikovaPeter J. F. LucasMaurice SamulskiNico KarssemeijerPublished in: Artif. Intell. Medicine (2013)
Keyphrases
- background knowledge
- image interpretation
- inductive logic programming
- bayesian networks
- machine learning
- medical image interpretation
- image understanding
- domain knowledge
- logic programs
- image analysis
- representation language
- explanation based learning
- domain theory
- inductive learning
- object recognition
- data mining
- knowledge base
- active learning
- prior knowledge
- computer vision
- additional knowledge
- world knowledge
- text mining
- labeled data
- information extraction
- semantic information
- text classification
- natural language processing
- structure learning
- feature selection
- artificial intelligence
- reference set
- neural network
- databases
- supervised learning
- natural language