Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alex Rudniy"'
Autor:
Alex Rudniy
Publikováno v:
The Journal of Writing Analytics. 2:176-202
Background: Employing natural language processing and latent semantic analysis, the current work was completed as a constituent part of a larger research project for designing and launching artificial intelligence in the form of deep artificial neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcbb953240b7376a3fcfbdacf7dbb087
https://doi.org/10.37514/jwa-j.2018.2.1.07
https://doi.org/10.37514/jwa-j.2018.2.1.07
Publikováno v:
The Journal of Writing Analytics. 2:96-137
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea589c64cd3a57ff0d603278bb0f773a
https://doi.org/10.37514/jwa-j.2018.2.1.05
https://doi.org/10.37514/jwa-j.2018.2.1.05
Autor:
Alex Rudniy, Min Song
Publikováno v:
BIBM
Detecting duplicate entities in biological data is an important research task. In this paper, we propose a novel and context-sensitive Markov random field-based edit distance (MRFED) for this task. We apply the Markov random field theory to the Needl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::114646c7f901cb002e55ffc11e2b9ef5
https://doi.org/10.1007/s10115-009-0254-7
https://doi.org/10.1007/s10115-009-0254-7
Publikováno v:
International journal of data mining and bioinformatics. 4(4)
Duplicate entity detection in biological data is an important research task. In this paper, we propose a novel and context-sensitive Shortest Path Edit Distance (SPED) extending and supplementing our previous work on Markov Random Field-based Edit Di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f910be11391b1fad97b198615504ffc8
https://pubmed.ncbi.nlm.nih.gov/20815139
https://pubmed.ncbi.nlm.nih.gov/20815139
Publikováno v:
BCB
This paper presents a novel and context-sensitive Shortest Path Edit Distance (SPED) applied to duplicate entity detection in biological data. SPED is an extension of Markov Random Field-based Edit Distance. It transforms the edit distance computatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fee33c638ae4b58647d3892b9515b3a0
https://doi.org/10.1145/1854776.1854851
https://doi.org/10.1145/1854776.1854851
Publikováno v:
BMC Bioinformatics
BMC BIOINFORMATICS(15)
BMC BIOINFORMATICS(15)
Background: The significant growth in the volume of electronic biomedical data in recent decades has pointed to the need for approximate string matching algorithms that can expedite tasks such as named entity recognition, duplicate detection, termino
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::041dc35047ff57c43c787779e16969fb