Machine learning and non-machine learning methods in mathematical recognition systems: Two decades’...
Machine learning and non-machine learning methods in mathematical recognition systems: Two decades’ systematic literature review
About this item
Full title
Author / Creator
Sakshi and Kukreja, Vinay
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Tools based on machine learning (ML) have seen widespread application in the prediction and categorization of mathematical symbols and phrases. The purpose of this work is to conduct a comprehensive analysis of the machine learning and non-machine learning strategies that are currently in use for the recognition of mathematical expressions. (MEs)....
Alternative Titles
Full title
Machine learning and non-machine learning methods in mathematical recognition systems: Two decades’ systematic literature review
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2933267926
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2933267926
Other Identifiers
ISSN
1573-7721,1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-023-16356-z
