DUMMY
发表于 2025-3-21 19:38:04
书目名称Grammatical Inference: Theoretical Results and Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0387814<br><br> <br><br>书目名称Grammatical Inference: Theoretical Results and Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0387814<br><br> <br><br>书目名称Grammatical Inference: Theoretical Results and Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0387814<br><br> <br><br>书目名称Grammatical Inference: Theoretical Results and Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0387814<br><br> <br><br>书目名称Grammatical Inference: Theoretical Results and Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0387814<br><br> <br><br>书目名称Grammatical Inference: Theoretical Results and Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0387814<br><br> <br><br>书目名称Grammatical Inference: Theoretical Results and Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0387814<br><br> <br><br>书目名称Grammatical Inference: Theoretical Results and Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0387814<br><br> <br><br>书目名称Grammatical Inference: Theoretical Results and Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0387814<br><br> <br><br>书目名称Grammatical Inference: Theoretical Results and Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0387814<br><br> <br><br>
聚集
发表于 2025-3-21 22:41:42
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.
badinage
发表于 2025-3-22 01:57:06
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案发地点
发表于 2025-3-22 06:06:35
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
发表于 2025-3-22 09:13:08
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finite
发表于 2025-3-22 13:26:54
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finite
发表于 2025-3-22 18:29:29
,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
发表于 2025-3-23 00:01:44
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
发表于 2025-3-23 01:26:19
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.
osculate
发表于 2025-3-23 06:51:56
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