Isbn: 9786208441517 - integrated meta- learning into biomedical diagnostics (10 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2025

    620844151X / 9786208441517

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2025

    620844151X / 9786208441517

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2025

    620844151X / 9786208441517

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2025

    620844151X / 9786208441517

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    EUR 39,45

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. INTEGRATED META- LEARNING INTO BIOMEDICAL DIAGNOSTICS | Monika Kumari (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208441517 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

  • Idioma: Inglés

    Editorial: Omniscriptum, LAP Lambert Academic Publishing, 2025

    620844151X / 9786208441517

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 43,90

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Meta-learning methods have to be properly applied in a wide range of healthcare settings through a huge number of theoretical and experimental studies. Meta-learning in health care remains in its infancy and has as yet not appealed to a larger scientific community, even with the developments. Additional work attempts need to be done to bridge a gap in the literature by combining existing breakthroughs and their practical applications since it is the first systematic survey targeting meta-learning within this area. The scope of the adaptation is where meta-learning also diverges from base learning. Whereas its acquisition is all about acquiring proficiency in a number of learning tasks, base-level acquisition is aimed at acquiring knowledge in one particular learning task. These are data integration across heterogeneous modalities, model interpretability, privacy and security, and real-world scalability optimization. Addressing these areas will enable meta-learning to become a foundation of the next generation of healthcare technologies, providing more accurate, personalized, and efficient diagnostic systems that can ultimately lead to better patient outcomes. 80 pp. Englisch.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2025

    620844151X / 9786208441517

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 46,08

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    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Meta-learning methods have to be properly applied in a wide range of healthcare settings through a huge number of theoretical and experimental studies. Meta-learning in health care remains in its infancy and has as yet not appealed to a larger scientific community, even with the developments. Additional work attempts need to be done to bridge a gap in the literature by combining existing breakthroughs and their practical applications since it is the first systematic survey targeting meta-learning within this area. The scope of the adaptation is where meta-learning also diverges from base learning. Whereas its acquisition is all about acquiring proficiency in a number of learning tasks, base-level acquisition is aimed at acquiring knowledge in one particular learning task. These are data integration across heterogeneous modalities, model interpretability, privacy and security, and real-world scalability optimization. Addressing these areas will enable meta-learning to become a foundation of the next generation of healthcare technologies, providing more accurate, personalized, and efficient diagnostic systems that can ultimately lead to better patient outcomes.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2025

    620844151X / 9786208441517

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    Condición: Nuevo

    EUR 78,98

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    Cantidad disponible: 4 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2025

    620844151X / 9786208441517

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    Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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    Condición: Nuevo

    EUR 85,15

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    Cantidad disponible: 4 disponibles

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2025

    620844151X / 9786208441517

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    EUR 81,23

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    Cantidad disponible: 4 disponibles

    Condición: New. PRINT ON DEMAND.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Apr 2025, 2025

    620844151X / 9786208441517

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 43,90

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    Cantidad disponible: 1 disponibles

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Meta-learning methods have to be properly applied in a wide range of healthcare settings through a huge number of theoretical and experimental studies. Meta-learning in health care remains in its infancy and has as yet not appealed to a larger scientific community, even with the developments. Additional work attempts need to be done to bridge a gap in the literature by combining existing breakthroughs and their practical applications since it is the first systematic survey targeting meta-learning within this area. The scope of the adaptation is where meta-learning also diverges from base learning. Whereas its acquisition is all about acquiring proficiency in a number of learning tasks, base-level acquisition is aimed at acquiring knowledge in one particular learning task. These are data integration across heterogeneous modalities, model interpretability, privacy and security, and real-world scalability optimization. Addressing these areas will enable meta-learning to become a foundation of the next generation of healthcare technologies, providing more accurate, personalized, and efficient diagnostic systems that can ultimately lead to better patient outcomes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.