Simplifying Decision Trees Learned by Genetic Programming.
Alma Lilia García-AlmanzaEdward P. K. TsangPublished in: IEEE Congress on Evolutionary Computation (2006)
Keyphrases
- genetic programming
- decision trees
- feature construction
- classification rules
- fitness function
- evolutionary algorithm
- evolutionary computation
- symbolic regression
- grammar guided genetic programming
- grammatical evolution
- gene expression programming
- predictive accuracy
- financial forecasting
- decision tree algorithm
- decision tree induction
- genetic algorithm
- random forest
- logistic regression
- naive bayes
- ensemble methods
- rule induction
- regression problems
- efficient learning
- learning phase
- machine learning
- training data
- machine learning algorithms
- decision tree learning
- evolutionary approaches
- training set
- multivariate decision trees
- bayesian networks
- decision tree classifiers
- constructive induction
- genetic algorithm ga
- rule sets