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書目名稱Grammatical Inference: Theoretical Results and Applications影響因子(影響力)




書目名稱Grammatical Inference: Theoretical Results and Applications影響因子(影響力)學科排名




書目名稱Grammatical Inference: Theoretical Results and Applications網(wǎng)絡公開度




書目名稱Grammatical Inference: Theoretical Results and Applications網(wǎng)絡公開度學科排名




書目名稱Grammatical Inference: Theoretical Results and Applications被引頻次




書目名稱Grammatical Inference: Theoretical Results and Applications被引頻次學科排名




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書目名稱Grammatical Inference: Theoretical Results and Applications年度引用學科排名




書目名稱Grammatical Inference: Theoretical Results and Applications讀者反饋




書目名稱Grammatical Inference: Theoretical Results and Applications讀者反饋學科排名

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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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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.

六個才偏離

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finite

,Modelle zur Erkl?rung von Kriminalit?t,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.

調色板

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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