Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem.
Yann ChevaleyreJean-Daniel ZuckerPublished in: Canadian Conference on AI (2001)
Keyphrases
- learning problems
- multiple instance
- rule sets
- decision trees
- machine learning algorithms
- relational learning
- learning tasks
- machine learning
- multiple instance learning
- supervised learning
- learning algorithm
- semi supervised learning
- kernel methods
- sample complexity
- decision rules
- reinforcement learning
- real valued
- concept learning
- pac learning
- naive bayes
- fuzzy rules
- association rules
- neural network
- rough set theory
- error rate
- graph cuts
- genetic programming
- relational data
- multi task
- computer vision
- data mining