Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions ; volume:25 ; number:1 ; day:20 ; month:4 ; year:2024 ; pages:1-19 ; date:12.2024
BMC bioinformatics ; 25, Heft 1 (20.4.2024), 1-19, 12.2024
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12859-024-05769-8
- URN
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urn:nbn:de:101:1-2407022101353.203453485719
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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10.01.2025, 4:48 PM CET
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Associated
- Samadi, Moein E.
- Mirzaieazar, Hedieh
- Mitsos, Alexander
- Schuppert, Andreas
- SpringerLink (Online service)
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Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions
Virtual patient modeling for heterogeneous intensive care unit data for the support of artificial intelligence
Bayesian population PBPK approach for support of drug development
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Global optimization of processes through machine learning
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