Artículos relacionados a Handbook of Evolutionary Machine Learning (Genetic...
- EditorialSpringer-Verlag GmbH
- Año de publicación2024
- ISBN 10 9819938163
- ISBN 13 9789819938162
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas784
- EditorBanzhaf Wolfgang, Zhang Mengjie, Machado Penousal
Comprar nuevo
Ver este artículo
EUR 246,09
EUR 23,00 gastos de envío desde Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Resultados de la búsqueda para Handbook of Evolutionary Machine Learning (Genetic...
Imagen del vendedor
Handbook of Evolutionary Machine Learning
Publicado por
Springer Nature Singapore, Springer Nature Singapore Nov 2024, 2024
ISBN 10: 9819938163
ISBN 13: 9789819938162
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine learning problems and improve current methods of machine learning. Topics in this book are organized into five parts. The first part introduces some fundamental concepts and overviews of evolutionary approaches to the three different classes of learning employed in machine learning. The second addresses the use of evolutionary computation as a machine learning technique describing methodologic improvements for evolutionary clustering, classification, regression, and ensemble learning. The third part explores the connection between evolution and neural networks, in particular the connection to deep learning, generative and adversarial models as well as the exciting potential of evolution with large language models. The fourth part focuses on the use of evolutionary computation for supporting machine learning methods. This includes methodological developments for evolutionary data preparation, model parametrization, design, and validation. The final part covers several chapters on applications in medicine, robotics, science, finance, and other disciplines. Readers find reviews of application areas and can discover large-scale, real-world applications of evolutionary machine learning to a variety of problem domains.This book will serve as an essential reference for researchers, postgraduate students, practitioners in industry and all those interested in evolutionary approaches to machine learning. 784 pp. Englisch. Nº de ref. del artículo: 9789819938162
Gastos de envío:
EUR 23,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 2 disponibles
Imagen del vendedor
Handbook of Evolutionary Machine Learning
Publicado por
Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9819938163
ISBN 13: 9789819938162
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine learning problems and improve current methods of machine learning. Topics in this book are organized into five parts. The first part introduces some fundamental concepts and overviews of evolutionary approaches to the three different classes of learning employed in machine learning. The second addresses the use of evolutionary computation as a machine learning technique describing methodologic improvements for evolutionary clustering, classification, regression, and ensemble learning. The third part explores the connection between evolution and neural networks, in particular the connection to deep learning, generative and adversarial models as well as the exciting potential of evolution with large language models. The fourth part focuses on the use of evolutionary computation for supporting machine learning methods. This includes methodological developments for evolutionary data preparation, model parametrization, design, and validation. The final part covers several chapters on applications in medicine, robotics, science, finance, and other disciplines. Readers find reviews of application areas and can discover large-scale, real-world applications of evolutionary machine learning to a variety of problem domains.This book will serve as an essential reference for researchers, postgraduate students, practitioners in industry and all those interested in evolutionary approaches to machine learning. Nº de ref. del artículo: 9789819938162
Gastos de envío:
EUR 33,82
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen de archivo
Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation)
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Nº de ref. del artículo: 26403374312
Cantidad disponible: 4 disponibles
Imagen de archivo
Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation)
Librería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 410828599
Gastos de envío:
EUR 7,64
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 4 disponibles
Imagen de archivo
Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation)
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 18403374306
Gastos de envío:
EUR 9,95
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 4 disponibles