An experimental evaluation of improving rule based classifiers with two approaches that change representations of learning examples.
Jerzy StefanowskiPublished in: Eng. Appl. Artif. Intell. (2004)
Keyphrases
- experimental evaluation
- learning algorithm
- learning systems
- feature representations
- active learning
- machine learning methods
- decision trees
- reinforcement learning
- data sets
- positive examples
- inductive learning
- multiple representations
- induction algorithms
- meta learning
- background knowledge
- machine learning algorithms
- supervised learning
- training set
- support vector