Reproducing kernel methods machine de lefloch philippe (5 resultados)
Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics
Lefloch, Philippe G. (Author)/ Mercier, Jeanmarc (Author)/ Miryusupov, Shohruh (Author)
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 72,24
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Paperback. Condición: Brand New. 170 pages. In Stock.
Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics
LeFloch, Philippe G.; Mercier, Jean-Marc; Miryusupov, Shohruh
Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics,U.S., 2026
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 85,72
Envío por EUR 7,65Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics,U.S., New York, 2026
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 93,91
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. This monograph develops a unified, application-driven framework for kernel methods grounded in reproducing kernel Hilbert spaces and optimal transport. The primary goal is to tackle industrial cases from computational physics and mathematical finance and discuss applications across various a…reas, such as statistics, or artificial intelligence (physics-informed systems, reinforcement learning, machine learning, generative methods, etc.).Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics is divided into two parts, theoretical principles and the techniques employed in their applications; contains numerous applications in engineering, finance, and machine learning; and provides a framework for designing numerically efficient, large-scale dataset strategies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics
LeFloch, Philippe G.; Mercier, Jean-Marc; Miryusupov, Shohruh
Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics,U.S., 2026
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 98,06
Envío por EUR 3,50Se envía dentro de Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics,U.S., New York, 2026
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 143,14
Envío por EUR 32,41Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. This monograph develops a unified, application-driven framework for kernel methods grounded in reproducing kernel Hilbert spaces and optimal transport. The primary goal is to tackle industrial cases from computational physics and mathematical finance and discuss applications across various a…reas, such as statistics, or artificial intelligence (physics-informed systems, reinforcement learning, machine learning, generative methods, etc.).Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics is divided into two parts, theoretical principles and the techniques employed in their applications; contains numerous applications in engineering, finance, and machine learning; and provides a framework for designing numerically efficient, large-scale dataset strategies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
