Evolutional concept learning from observations through adaptive feature selection and GA-based feature discovery.
Tetsuo SawaragiNaoki TaniOsamu KataiPublished in: J. Intell. Fuzzy Syst. (1999)
Keyphrases
- concept learning
- feature selection
- feature set
- feature subset
- feature construction
- discriminative features
- redundant features
- irrelevant features
- inductive logic programming
- supervised feature selection
- constructive induction
- text classification
- input features
- genetic algorithm ga
- selecting features
- feature ranking
- knowledge discovery
- genetic algorithm
- data mining
- multi class
- negative examples
- feature vectors
- machine learning
- text categorization
- support vector machine
- feature values
- low level
- support vector
- artificial intelligence