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arXiv 2407.09775cs.FLcs.LG
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在Max-Plus半环上学习加权有限自动机及其终止性

Learning Weighted Finite Automata over the Max-Plus Semiring and its Termination

Graduate School of Informatics, Kyoto University(京都大学信息学研究科);National Institute of Informatics(信息学研究所);The Graduate University for Advanced Studies (SOKENDAI)(高级研究大学院大学(SOKENDAI))

Takamasa Okudono, Masaki Waga, Taro Sekiyama, Ichiro Hasuo

AI总结:

针对max-plus半环上加权自动机的L*风格学习存在的表格一致性问题,提出基于列闭包的理论修复方案,并给出一类使算法可终止的非平凡max-plus加权语言。

摘要:

有限自动机的主动学习一直是研究热点,旨在对黑盒系统进行分析与解释。本文研究了面向max-plus半环上加权自动机的L*风格学习算法。max-plus场景下,此前研究的半环通用L*扩展存在“一致性”问题:我们证明其可能无法维持表格一致性,进而对明显错误的假设自动机发起等价查询。我们通过数学上简洁的列闭包概念提出了理论修复方案。我们还提出了一类非平凡且范围较广的max-plus半环加权语言,本文算法在该类语言中可终止。

英文摘要:

Active learning of finite automata has been vigorously pursued for the purposes of analysis and explanation of black-box systems. In this paper, we study an L*-style learning algorithm for weighted automata over the max-plus semiring. The max-plus setting exposes a "consistency" issue in the previously studied semiring-generic extension of L*: we show that it can fail to maintain consistency of tables, and can thus make equivalence queries on obviously wrong hypothesis automata. We present a theoretical fix by a mathematically clean notion of column-closedness. We also present a nontrivial and reasonably broad class of weighted languages over the max-plus semiring in which our algorithm terminates.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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