van Heerdt, G;
Kupke, C;
Rot, J;
Silva, A;
(2020)
Learning Weighted Automata over Principal Ideal Domains.
Lecture Notes in Computer Science
, 12077
pp. 602-621.
10.1007/978-3-030-45231-5_31.
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Abstract
In this paper, we study active learning algorithms for weighted automata over a semiring. We show that a variant of Angluin’s seminal L⋆ algorithm works when the semiring is a principal ideal domain, but not for general semirings such as the natural numbers. The research leading to this research was partially funded by the European Union’s Horizon 2020 research and innovation programme under the ERC Starting Grant ProFoundNet (grant code 679127) and the Marie Skłodowska-Curie Grant Agreement No. 795119, and the EPSRC Standard Grant CLeVer (EP/S028641/1).
Type: | Article |
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Title: | Learning Weighted Automata over Principal Ideal Domains |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-3-030-45231-5_31 |
Publisher version: | https://doi.org/10.1007/978-3-030-45231-5_31 |
Language: | English |
Additional information: | This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10097483 |
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