ISBN: 9789819659289 - derivative-free optimization: theoretical foundations, algorithms, and applications (machine learning: foundations, methodologies, and applications) (7 resultados)

ISBN: 
Refinar con la Búsqueda avanzada

Filtrar la búsqueda

  • Libros (7)

  • Nuevo (7)

a

Intervalo de precios personalizado (EUR)

a

  • Idioma: Inglés

    Editorial: Springer, 2025

    9819659280 / 9789819659289

    • Tapa dura

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

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 183,30

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a pioneering exploration of classification-based derivative-free optimization (DFO), providing researchers and professionals in artificial intelligence, machine learning, AutoML, and optimization with a robust framework for addressing complex, large-scale problems where gradients are unavailable. By bridging theoretical foundations with practical implementations, it fills critical gaps in the field, making it an indispensable resource for both academic and industrial audiences.The book introduces innovative frameworks such as sampling-and-classification (SAC) and sampling-and-learning (SAL), which underpin cutting-edge algorithms like Racos and SRacos. These methods are designed to excel in challenging optimization scenarios, including high-dimensional search spaces, noisy environments, and parallel computing. A dedicated section on the ZOOpt toolbox provides practical tools for implementing these algorithms effectively. The book s structure moves from foundational principles and algorithmic development to advanced topics and real-world applications, such as hyperparameter tuning, neural architecture search, and algorithm selection in AutoML.Readers will benefit from a comprehensive yet concise presentation of modern DFO methods, gaining theoretical insights and practical tools to enhance their research and problem-solving capabilities. A foundational understanding of machine learning, probability theory, and algorithms is recommended for readers to fully engage with the material.…

  • Idioma: Inglés

    Editorial: Springer, 2025

    9819659280 / 9789819659289

    • Tapa dura

    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

    Vendedor de 4 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 231,71

    Envío por EUR 3,56 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: 4 disponibles

    Condición: New.

  • Idioma: Inglés

    Editorial: Springer, 2025

    9819659280 / 9789819659289

    • Tapa dura
    • Impresión bajo demanda

    Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 126,26

    Envío por EUR 5,50 
    Se envía de Italia a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: new. Questo è un articolo print on demand.

  • Idioma: Inglés

    Editorial: Springer Nature Singapore, Springer Nature Singapore Jul 2025, 2025

    9819659280 / 9789819659289

    • Tapa dura
    • Impresión bajo demanda

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

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 160,49

    Envío por EUR 23,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a pioneering exploration of classification-based derivative-free optimization (DFO), providing researchers and professionals in artificial intelligence, machine learning, AutoML, and optimization with a robust framework for addressing complex, large-scale problems where gradients are unavailable. By bridging theoretical foundations with practical implementations, it fills critical gaps in the field, making it an indispensable resource for both academic and industrial audiences.The book introduces innovative frameworks such as sampling-and-classification (SAC) and sampling-and-learning (SAL), which underpin cutting-edge algorithms like Racos and SRacos. These methods are designed to excel in challenging optimization scenarios, including high-dimensional search spaces, noisy environments, and parallel computing. A dedicated section on the ZOOpt toolbox provides practical tools for implementing these algorithms effectively. The book s structure moves from foundational principles and algorithmic development to advanced topics and real-world applications, such as hyperparameter tuning, neural architecture search, and algorithm selection in AutoML.Readers will benefit from a comprehensive yet concise presentation of modern DFO methods, gaining theoretical insights and practical tools to enhance their research and problem-solving capabilities. A foundational understanding of machine learning, probability theory, and algorithms is recommended for readers to fully engage with the material. 212 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Springer, Springer Jul 2025, 2025

    9819659280 / 9789819659289

    • Tapa dura
    • Impresión bajo demanda

    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 160,49

    Envío por EUR 60,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers a pioneering exploration of classification-based derivative-free optimization (DFO), providing researchers and professionals in artificial intelligence, machine learning, AutoML, and optimization with a robust framework for addressing complex, large-scale problems where gradients are unavailable. By bridging theoretical foundations with practical implementations, it fills critical gaps in the field, making it an indispensable resource for both academic and industrial audiences.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 212 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Springer, 2025

    9819659280 / 9789819659289

    • Tapa dura
    • Impresión bajo demanda

    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

    Vendedor de 4 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 245,65

    Envío por EUR 7,75 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 4 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Springer, 2025

    9819659280 / 9789819659289

    • Tapa dura
    • Impresión bajo demanda

    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

    Vendedor de 4 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 246,54

    Envío por EUR 9,95 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 4 disponibles

    Condición: New. PRINT ON DEMAND.