Multiple-Knowledge Representations in Concept Learning

@inproceedings{Merckt2005MultipleKnowledgeRI,
  title={Multiple-Knowledge Representations in Concept Learning},
  author={Thierry Van de Merckt and Christine Decaestecker},
  year={2005}
}
This paper investigates a general framework for learning concepts that allows to generate accurate and comprehensible concept representations. It is known that biases used in learning algorithms directly affect their performance as well as their comprehensibility. A critical problem is that, most of the time, the most "comprehensible" representations are not the best performer in terms of classification! In this paper, we argue that concept learning systems should employ Multiple-Knowledge… CONTINUE READING

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