Some Probabilistic Modelling Ideas for Boolean Classification in Genetic Programming.
Jorge MuruzábalCarlos CottaAmelia FernándezPublished in: EuroGP (2000)
Keyphrases
- genetic programming
- classification rules
- pattern recognition
- regression problems
- classification accuracy
- artificial intelligence
- classification algorithm
- evolutionary computation
- feature extraction
- pattern classification
- fitness function
- supervised learning
- support vector machine
- classification scheme
- probabilistic model
- decision trees
- classification method
- feature selection
- decision rules
- data mining
- classification rate
- classification systems
- accurate classification
- feature set
- rough sets
- feature vectors
- unsupervised learning
- genetic algorithm
- support vector
- real valued
- symbolic regression
- data sets
- machine learning
- classification process
- data streams
- belief networks
- dimensionality reduction
- machine learning methods
- image classification
- generative model