Classification with test costs and background knowledge.
Tomasz LukaszewskiSzymon WilkPublished in: Knowl. Based Syst. (2016)
Keyphrases
- background knowledge
- inductive logic programming
- domain knowledge
- logic programs
- learned rules
- world knowledge
- prior knowledge
- supervised learning
- image classification
- machine learning
- labeled data
- ontology learning
- representation language
- domain theory
- positive examples
- feature extraction
- decision trees
- classification rules
- feature space
- training data
- semi supervised clustering
- reference set
- feature selection