Titlebook: Algorithmic Learning Theory - ALT ‘92; Third Workshop, ALT Shuji Doshita,Koichi Furukawa,Toyaki Nishida Conference proceedings 1993 Spring

削减

https://doi.org/10.1007/978-3-642-91639-7ient conditions for a class of recursive languages to be finitely identifiable, that is, to be inferable without any mind changes from positive or complete data. The results we present in this paper are natural extensions of the above results.

Engulf

SAGE

慌张

Domains of attraction in autoassociative memory networks for character pattern recognition,so found. Any noisy pattern vector in such domains, which may have real valued components, can be recognized as one of the stored patterns. Moreover, an autoassociative memory model having large domains of attraction is proposed. This model has symmetric connection weights and is successfully applied to character pattern recognition.

变化

Inductive inference with bounded mind changes,ient conditions for a class of recursive languages to be finitely identifiable, that is, to be inferable without any mind changes from positive or complete data. The results we present in this paper are natural extensions of the above results.

ABASH

悲痛

一小块

古老

Semblance

Prudence in vacillatory language identification (Extended abstract),r languages that it can learn according to that criterion. This notion was introduced by Osherson, Stob, and Weinstein with a view to investigate certain proposals for characterizing natural languages in linguistic theory. Fulk showed that prudence does not restrict TxtEx-identification, and later K