Výsledky vyhľadávania - "Constraint-Based Algorithm"
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Autori:
Zdroj: International Journal of Approximate Reasoning. 138:105-122
Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Statistics - Machine Learning, Bayesian networks, Constraint-based algorithm, Continuous-time, Structure learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, 0101 mathematics, 01 natural sciences, Machine Learning (cs.LG)
Popis súboru: application/pdf
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2
Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: Proceedings of Machine Learning Research ; 11th International Conference on Probabilistic Graphical Models (PGM 2022) ; https://hal.science/hal-04942404 ; 11th International Conference on Probabilistic Graphical Models (PGM 2022), Oct 2022, Almeria, Spain. pp.241-252 ; https://www2.ual.es/pgm2022/
Predmety: Interactive Algorithm, Causal Bayesian Network, Expert's Knowledge, Constraint-Based Algorithm, Score-Based algorithm, Uncertainty, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
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3
Autori:
Predmety: constraint-based algorithm, Continuous-time Bayesian networks, structure learning, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences
Popis súboru: application/pdf
Prístupová URL adresa: https://proceedings.mlr.press/v138/bregoli20a.html
https://hdl.handle.net/10281/302789 -
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Autori: a ďalší
Prispievatelia: a ďalší
Popis súboru: ELETTRONICO
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000409268700001; volume:80; issue:7; firstpage:1; lastpage:25; numberofpages:25; journal:JOURNAL OF STATISTICAL SOFTWARE; http://hdl.handle.net/11573/1000534
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REDEFINITION OF THE GREEK ELECTORAL DISTRICTS THROUGH THE APPLICATION OF A REGION-BUILDING ALGORITHM
Autori: Yorgos N. PHOTIS
Zdroj: European Journal of Geography, Vol 3, Iss 2 (2012)
Predmety: Spatial clustering, GIS, constraint-based algorithm, electoral districts, Greece, Geography. Anthropology. Recreation
Popis súboru: electronic resource
Relation: https://eurogeojournal.eu/index.php/egj/article/view/543; https://doaj.org/toc/1792-1341; https://doaj.org/toc/2410-7433
Prístupová URL adresa: https://doaj.org/article/2d0c661fed2746a0a0880bc9de26cdc8
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REDEFINITION OF THE GREEK ELECTORAL DISTRICTS THROUGH THE APPLICATION OF A REGION-BUILDING ALGORITHM
Autori: Photis, Yorgos N.
Zdroj: European Journal of Geography, Vol 3, Iss 2 (2012)
Predmety: Greece, Spatial clustering, GIS, constraint-based algorithm, electoral districts, 0211 other engineering and technologies, jel:D72, 02 engineering and technology, jel:O2, jel:R53, 0202 electrical engineering, electronic engineering, information engineering, Geography. Anthropology. Recreation
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: https://inria.hal.science/inria-00070567 ; [Research Report] RR-5440, INRIA. 2004, pp.26.
Predmety: STATIC ANALYSIS, MEMORY ANALYSIS, CONSTRAINT-BASED ALGORITHM, JAVA CARD, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]
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Autori: a ďalší
Témy: Bayesian network, Constraint-based algorithm, Continuous-time, Structure learning, info:eu-repo/semantics/article
URL:
https://hdl.handle.net/10281/370636
info:eu-repo/semantics/altIdentifier/wos/WOS:000704053400008
volume:138
issue:November 2021
firstpage:105
lastpage:122
numberofpages:18
journal:INTERNATIONAL JOURNAL OF APPROXIMATE REASONING -
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Autori: a ďalší
Témy: constraint-based algorithm, Continuous-time Bayesian network, structure learning, Settore INFO-01/A - Informatica, info:eu-repo/semantics/conferenceObject
URL:
https://hdl.handle.net/10281/302789 https://proceedings.mlr.press/v138/bregoli20a.html
info:eu-repo/semantics/altIdentifier/wos/WOS:001231262100005
ispartofbook:10th International Conference on Probabilistic Graphical Models, PGM 2020
10th International Conference on Probabilistic Graphical Models, PGM 2020 - 23 September 2020 through 25 September 2020
volume:138
firstpage:41
lastpage:52
numberofpages:12
serie:PROCEEDINGS OF MACHINE LEARNING RESEARCH
alleditors:Jaeger, M; Nielsen, TD
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