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樓主
發(fā)表于 2025-3-21 19:38:04 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Grammatical Inference: Theoretical Results and Applications
編輯José M. Sempere,Pedro García
視頻videohttp://file.papertrans.cn/388/387814/387814.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: ;
出版日期Conference proceedings 2010
版次1
doihttps://doi.org/10.1007/978-3-642-15488-1
isbn_softcover978-3-642-15487-4
isbn_ebook978-3-642-15488-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
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沙發(fā)
發(fā)表于 2025-3-21 22:41:42 | 只看該作者
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.
板凳
發(fā)表于 2025-3-22 01:57:06 | 只看該作者
地板
發(fā)表于 2025-3-22 06:06:35 | 只看該作者
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.
5#
發(fā)表于 2025-3-22 09:13:08 | 只看該作者
6#
發(fā)表于 2025-3-22 13:26:54 | 只看該作者
7#
發(fā)表于 2025-3-22 18:29:29 | 只看該作者
,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.
8#
發(fā)表于 2025-3-23 00:01:44 | 只看該作者
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.
9#
發(fā)表于 2025-3-23 01:26:19 | 只看該作者
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.
10#
發(fā)表于 2025-3-23 06:51:56 | 只看該作者
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