Learning Probabilistic Datalog Rules for Information Classification and Transformation.
Henrik NottelmannNorbert FuhrPublished in: CIKM (2001)
Keyphrases
- background knowledge
- prior domain knowledge
- machine learning
- learning algorithm
- supervised learning
- rule learning
- prior knowledge
- decision rules
- classification accuracy
- learning process
- learning tasks
- training data
- incremental learning
- image classification
- information processing
- information sources
- unsupervised learning
- domain knowledge
- reinforcement learning
- bayesian networks
- online learning
- model selection
- neural network
- support vector machine
- pattern recognition
- feature extraction
- deductive databases
- learning rules
- rule extraction
- decision trees
- prior probabilities
- feature selection
- intermediate concepts