On the automatic design of decision-tree induction algorithms

@inproceedings{Barros2013OnTA,
  title={On the automatic design of decision-tree induction algorithms},
  author={Rodrigo C. Barros},
  year={2013}
}
DEcision-tree induction is one of the most employed methods to extract knowledge from data. There are several distinct strategies for inducing decision trees from data, each one presenting advantages and disadvantages according to its corresponding inductive bias. These strategies have been continuously improved by researchers over the last 40 years. This thesis, following recent breakthroughs in the automatic design of machine learning algorithms, proposes to automatically generate decision… 
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