Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mateusz Gabor"'
Publikováno v:
Applied Sciences, Vol 11, Iss 3, p 1030 (2021)
The split-based method in a weighted context-free grammar (WCFG) induction was formalised and verified on a comprehensive set of context-free languages. WCFG is learned using a novel grammatical inference method. The proposed method learns WCFG from
Externí odkaz:
https://doaj.org/article/2b2f93f2f0ca421b9729935826e160d4
Publikováno v:
Mechanical Systems and Signal Processing. 198:110430
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e75b2ffc8d85cfd82a7bace5bb49abd0
https://doi.org/10.1016/j.ymssp.2023.110430
https://doi.org/10.1016/j.ymssp.2023.110430
Autor:
Rafal Zdunek, Mateusz Gabor
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af176a3e89d94842be1c4c036266582d
https://doi.org/10.1109/ijcnn55064.2022.9892959
https://doi.org/10.1109/ijcnn55064.2022.9892959
Autor:
Mateusz Gabor, Rafal Zdunek
Publikováno v:
Computational Science – ICCS 2022 ISBN: 9783031087561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8304bec6f2221b41b1412dc50e00c211
https://doi.org/10.1007/978-3-031-08757-8_54
https://doi.org/10.1007/978-3-031-08757-8_54
Autor:
Mateusz Gabor, Rafał Zdunek
Publikováno v:
Applied Soft Computing. 132:109856
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5149eb019647bcfd8b705ef24443586b
https://doi.org/10.1016/j.asoc.2022.109856
https://doi.org/10.1016/j.asoc.2022.109856
Publikováno v:
Applied Sciences
Volume 11
Issue 3
Applied Sciences, Vol 11, Iss 1030, p 1030 (2021)
Volume 11
Issue 3
Applied Sciences, Vol 11, Iss 1030, p 1030 (2021)
The split-based method in a weighted context-free grammar (WCFG) induction was formalised and verified on a comprehensive set of context-free languages. WCFG is learned using a novel grammatical inference method. The proposed method learns WCFG from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71dfe604adb6826c897bfbafb4259f6d
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783030591366
AIME
AIME
Protein sequence motifs are conserved amino acid patterns of biological significance. They are vital for annotating structural and functional features of proteins. Yet, the computational methods commonly used for defining sequence motifs are typicall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c33f1e0e73f0ac64aa21b207e8d6844f
https://doi.org/10.1007/978-3-030-59137-3_27
https://doi.org/10.1007/978-3-030-59137-3_27
Publikováno v:
ICAART (1)
In this paper, we address the problem of inducing (weighted) context-free grammar (WCFG) on data given. The induction is performed by using a new model of grammatical inference, i.e., weighted Grammar-based Classifier System (wGCS). wGCS derives from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bc2f99d135531d9e41fd918e59bdb36
http://hdl.handle.net/20.500.12128/13207
http://hdl.handle.net/20.500.12128/13207
Autor:
Olgierd Unold, Mateusz Gabor
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030209148
ICAISC (2)
ICAISC (2)
Probabilistic context-free grammars (PCFGs) or in general a weighted context-free grammars (WCFGs) are widely used in many areas of syntactic pattern matching, especially in statistical natural language parsing or biological modeling. For a given a f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53a1bfa144af9156f65209362aa8975f
https://doi.org/10.1007/978-3-030-20915-5_53
https://doi.org/10.1007/978-3-030-20915-5_53