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发表于 2025-3-21 17:22:19 | 显示全部楼层 |阅读模式
书目名称Grammatical Inference: Algorithms and Applications
编辑Georgios Paliouras,Yasubumi Sakakibara
视频video
丛书名称Lecture Notes in Computer Science
图书封面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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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.
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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.
发表于 2025-3-23 09:22:01 | 显示全部楼层
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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