The L 2 convergence of stream data mining algorithms based on probabilistic neural networks (Englisch)
- Neue Suche nach: Rutkowska, Danuta
- Weitere Informationen zu Rutkowska, Danuta:
- https://orcid.org/0000-0003-0217-2589
- Neue Suche nach: Duda, Piotr
- Weitere Informationen zu Duda, Piotr:
- https://orcid.org/0000-0001-7182-1349
- Neue Suche nach: Cao, Jinde
- Weitere Informationen zu Cao, Jinde:
- https://orcid.org/0000-0003-3133-7119
- Neue Suche nach: Rutkowski, Leszek
- Weitere Informationen zu Rutkowski, Leszek:
- https://orcid.org/0000-0001-6960-9525
- Neue Suche nach: Byrski, Aleksander
- Neue Suche nach: Jaworski, Maciej
- Weitere Informationen zu Jaworski, Maciej:
- https://orcid.org/0000-0002-8410-4231
- Neue Suche nach: Tao, Dacheng
- Neue Suche nach: Rutkowska, Danuta
- Neue Suche nach: Duda, Piotr
- Neue Suche nach: Cao, Jinde
- Neue Suche nach: Rutkowski, Leszek
- Neue Suche nach: Byrski, Aleksander
- Neue Suche nach: Jaworski, Maciej
- Neue Suche nach: Tao, Dacheng
In:
Information Sciences
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631
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346-368
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2023
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ISSN:
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:The L 2 convergence of stream data mining algorithms based on probabilistic neural networks
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Beteiligte:Rutkowska, Danuta ( Autor:in ) / Duda, Piotr ( Autor:in ) / Cao, Jinde ( Autor:in ) / Rutkowski, Leszek ( Autor:in ) / Byrski, Aleksander ( Autor:in ) / Jaworski, Maciej ( Autor:in ) / Tao, Dacheng ( Autor:in )
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Erschienen in:Information Sciences ; 631 ; 346-368
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Verlag:
- Neue Suche nach: Elsevier Inc.
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Erscheinungsdatum:20.02.2023
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Format / Umfang:23 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
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Editorial Board| 2023