Attribute-based Decision Graphs (AbDG) have been recently proposed as a novel and effective way to represent data as weighted labeled graphs. However, for some domains, the definition of a graph structure that best fits the data can be a hard task. In machine learning it is very common to rely on evolutionary algorithms to guide the model selection phase of learning processes. Particularly, as far...
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