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Algorithms and Training for Weighted Multiset Automata and Regular\n Expressions

2018/06/08 by Justin DeBenedetto, David Chiang, DeBenedetto, Justin +1
Computer Science · #FOS: Computer and information sciences #Formal Languages and Automata Theory (cs.FL) #Machine Learning and Algorithms #Network Packet Processing and Optimization #semigroups and automata theory

paper · pdf · doi:10.48550/arxiv.1806.03315

openalex publication_date 2018/06/08 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28

Abstract

Multiset automata are a class of automata for which the symbols can be read\nin any order and obtain the same result. We investigate weighted multiset\nautomata and show how to construct them from weighted regular expressions. We\npresent training methods to learn the weights for weighted regular expressions\nand for general multiset automata from data. Finally, we examine situations in\nwhich inside weights can be computed more efficiently.\n

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