Towards a method for automatically evolving bayesian network classifiers

@inproceedings{S2013TowardsAM,
  title={Towards a method for automatically evolving bayesian network classifiers},
  author={Alex Guimar{\~a}es Cardoso de S{\'a} and Gisele Lobo Pappa},
  booktitle={GECCO},
  year={2013}
}
When faced with a new machine learning problem, selecting which classifier is the best to perform the task at hand is a very hard problem. Most solutions proposed in the literature are based on meta-learning, and use meta-data about the problem to recommend an effective algorithm to solve the task. This paper proposes a new approach to this problem: to build an algorithm tailored to the application problem at hand. More specifically, we propose an evolutionary algorithm (EA) to automatically… CONTINUE READING

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