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發(fā)表于 2025-3-21 17:22:19 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Grammatical Inference: Algorithms and Applications
編輯Georgios Paliouras,Yasubumi Sakakibara
視頻videohttp://file.papertrans.cn/388/387811/387811.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: ;
出版日期Conference proceedings 20041st edition
版次1
doihttps://doi.org/10.1007/b101520
isbn_softcover978-3-540-23410-4
isbn_ebook978-3-540-30195-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
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沙發(fā)
發(fā)表于 2025-3-22 00:06:01 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:35:02 | 只看該作者
Analogical Equations in Sequences: Definition and ResolutionWe present a definition of analogy on sequences which is based on two principles: the definition of an analogy between the letters of an alphabet and the use of the edit distance between sequences. Our definition generalizes the algorithm given by Lepage and is compatible with another definition of analogy in sequences given by Yvon.
地板
發(fā)表于 2025-3-22 05:29:10 | 只看該作者
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發(fā)表于 2025-3-23 02:52:19 | 只看該作者
Learning Node Selecting Tree Transducer from Completely Annotated Examplesrees automatically from examples. We introduce . (.) and show how to induce deterministic .s in polynomial time from completely annotated examples. We have implemented learning algorithms for .s, started applying them to Web information extraction, and present first experimental results.
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發(fā)表于 2025-3-23 09:22:01 | 只看該作者
Introducing Domain and Typing Bias in Automata Inferenceg background knowledge. Algorithmic solutions are provided to introduce this additional information efficiently in the classical state-merging automata learning framework. Improvement induced by the use of this background knowledge is shown on both artificial and real data.
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