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Theory-laden design of mutation-based Geometric Semantic Genetic Programming for learning classification trees.
Andrea Mambrini
Luca Manzoni
Alberto Moraglio
Published in:
IEEE Congress on Evolutionary Computation (2013)
Keyphrases
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genetic programming
learning process
decision trees
active learning
fitness function
genetic algorithm
learning algorithm
supervised learning
learning scheme
data sets
neural network
evolutionary algorithm
knowledge acquisition
training examples
semantic information
classification trees