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书目名称Grammatical Inference: Theoretical Results and Applications影响因子(影响力)




书目名称Grammatical Inference: Theoretical Results and Applications影响因子(影响力)学科排名




书目名称Grammatical Inference: Theoretical Results and Applications网络公开度




书目名称Grammatical Inference: Theoretical Results and Applications网络公开度学科排名




书目名称Grammatical Inference: Theoretical Results and Applications被引频次




书目名称Grammatical Inference: Theoretical Results and Applications被引频次学科排名




书目名称Grammatical Inference: Theoretical Results and Applications年度引用




书目名称Grammatical Inference: Theoretical Results and Applications年度引用学科排名




书目名称Grammatical Inference: Theoretical Results and Applications读者反馈




书目名称Grammatical Inference: Theoretical Results and Applications读者反馈学科排名

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Menschen verstehen – Potenziale erkennenWe introduce a new algorithm for sequential learning of Mealy automata by . (CGE). Our approach makes use of techniques from term rewriting theory and universal algebra for compactly representing and manipulating automata using finite congruence generator sets represented as . (SRS). We prove that the CGE algorithm correctly learns in the limit.

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案发地点

CGE: A Sequential Learning Algorithm for Mealy AutomataWe introduce a new algorithm for sequential learning of Mealy automata by . (CGE). Our approach makes use of techniques from term rewriting theory and universal algebra for compactly representing and manipulating automata using finite congruence generator sets represented as . (SRS). We prove that the CGE algorithm correctly learns in the limit.

六个才偏离

finite

finite

,Modelle zur Erklärung von Kriminalität,ership queries by observing where each tuple of strings may occur in sentences of the language of the learning target. Our technique is based on Clark et al.’s work (ICGI 2008) on learning of a subclass of context-free languages. Our algorithm learns those context-free languages as well as many non-context-free languages.

BUOY

Learning Regular Expressions from Representative Examples and Membership Queriesdepth 2. The learner uses one . example of the target language (where every occurrence of every loop in the target expression is unfolded at least twice) and a number of membership queries. The algorithm works in time polynomial in the length of the input example.

调色板

A Local Search Algorithm for Grammatical Inferencepresentative words chosen from a (possibly infinite) context-free language and of a finite set of counterexamples—words which do not belong to the language. The time complexity of the algorithm is polynomially bounded. The experiments have been performed for a dozen or so languages investigated by other researchers and our results are reported.

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