What Is the Search Space of the Regular Inference?

نویسندگان

  • Pierre Dupont
  • Laurent Miclet
  • Enrique Vidal
چکیده

(1) France T el ecom-CNET/LAA/TSS/RCP 2, route de Tr egastel 22301 Lannion Cedex (France) Abstract This paper revisits the theory of regular inference, in particular by extending the deenition of structural completeness of a positive sample and by demonstrating two basic theorems. This framework enables to state the regular inference problem as a search through a boolean lattice built from the positive sample. Several properties of the search space are studied and generalization criteria are discussed. In this framework, the concept of border set is introduced, that is the set of the most general solutions excluding a negative sample. Finally, the complexity of regular language identiication from both a theoritical and a practical point of view is discussed.

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تاریخ انتشار 1994