Reproducing kernel methods machine di lefloch philippe (5 risultati)
Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics
Lefloch, Philippe G. (Author)/ Mercier, Jeanmarc (Author)/ Miryusupov, Shohruh (Author)
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 72,04
EUR 11,73 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Paperback. Condizione: Brand New. 170 pages. In Stock.
Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics
LeFloch, Philippe G.; Mercier, Jean-Marc; Miryusupov, Shohruh
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2026
- Brossura
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 85,82
EUR 7,63 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Condizione: New.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., New York, 2026
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 94,02
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: 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
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2026
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 98,17
EUR 3,50 spedizioneSpedito in U.S.A.Quantità: 3 disponibili
Condizione: New.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., New York, 2026
- Brossura
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 143,29
EUR 32,45 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: 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.
