2018
DOI: 10.1016/j.jcss.2017.12.002
|View full text |Cite
|
Sign up to set email alerts
|

Grammatical inference of directed acyclic graph languages with polynomial time complexity

Abstract: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights• We tackle the task of graph language l… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 39 publications
(48 reference statements)
0
0
0
Order By: Relevance
“…String-regulated rewriting graph grammars were used for genetic regulation in [130]. The use of an inference algorithm for k-testable graph languages in order to analyze hairpin RNA molecules data sets was presented in [72].…”
Section: Applications Of Graph-based Modelsmentioning
confidence: 99%
“…String-regulated rewriting graph grammars were used for genetic regulation in [130]. The use of an inference algorithm for k-testable graph languages in order to analyze hairpin RNA molecules data sets was presented in [72].…”
Section: Applications Of Graph-based Modelsmentioning
confidence: 99%