Simplifying Decision Trees Learned by Genetic Programming.

Alma Lilia García-Almanza Edward P. K. Tsang

Published 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