Reproducing kernel methods machine par lefloch philippe (9 résultats)
Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics
Lefloch, Philippe G. (Author)/ Mercier, Jeanmarc (Author)/ Miryusupov, Shohruh (Author)
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Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 71,85
EUR 11,70 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 2 disponible(s)
Paperback. Etat : Brand New. 170 pages. In Stock.
Langue : anglais
Edité par Society for Industrial and Applied Mathematics,U.S., US, 2026
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Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA
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EUR 86,46
Frais de port gratuitsExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 7 disponible(s)
Paperback. Etat : New. 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 areas, such as s…tatistics, 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.
Langue : anglais
Edité par Society for Industrial & Applied Mathematics,U.S., New York, 2026
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
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EUR 86,82
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : 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 areas…, 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
Langue : anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2026
- Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
EUR 86,01
EUR 7,61 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 3 disponible(s)
Etat : New.
Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics
LeFloch, Philippe G.; Mercier, Jean-Marc; Miryusupov, Shohruh
Langue : anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2026
- Couverture souple
Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
EUR 98,39
EUR 3,51 expéditionExpédition nationale : Etats-UnisQuantité disponible : 3 disponible(s)
Etat : New.
Langue : anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2026
- Couverture souple
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandeKennys Bookshop and Art Galleries Ltd.
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 93,21
EUR 9,50 expéditionExpédition depuis Irlande vers Etats-UnisQuantité disponible : 14 disponible(s)
Etat : New. 2026. paperback. . . . . .
Langue : anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2026
- Couverture souple
Vendeur : Kennys Bookstore, Olney, MD, Etats-UnisKennys Bookstore
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 97,79
EUR 9,23 expéditionExpédition nationale : Etats-UnisQuantité disponible : 14 disponible(s)
Etat : New. 2026. paperback. . . . . . Books ship from the US and Ireland.
Langue : anglais
Edité par Society for Industrial and Applied Mathematics,U.S., US, 2026
- Couverture souple
Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 77,85
EUR 76,06 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 7 disponible(s)
Paperback. Etat : New. 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 areas, such as s…tatistics, 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.
Langue : anglais
Edité par Society for Industrial & Applied Mathematics,U.S., New York, 2026
- Couverture souple
Vendeur : AussieBookSeller, Truganina, VIC, AustralieAussieBookSeller
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 142,94
EUR 32,52 expéditionExpédition depuis Australie vers Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : 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 areas…, 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.
