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Paperback. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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paperback. Condición: Fine. Ships from FL, USA with Tracking. Inspected, Complete and Guaranteed. Binding and cover in like new condition. No writing or highlighting. No missing or torn pages. 30-Day Satisfaction Guarantee.

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Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: NEW.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Condición: New.

Condición: NEW.

Condición: new.

Paperback. Condición: Brand New. 318 pages. 5.98x0.72x9.02 inches. In Stock.

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Condición: New.

Condición: New. 2026. hardcover. . . . . .

Hardback. Condición: New. Kernel methods, with origins in the pioneering work of Mercer (1909), Bochner (1933), and Aronszajn (1950), have become central tools in modern mathematics and machine learning. This book explores their deep connections with approximation theory, highlighting both classical results and cutting-edge developments. Through clear explanations and illustrative examples, it guides readers from foundational concepts to contemporary applications, including computational methods and real-world problem solving. By bridging theory and practice, the text not only provides a rigorous understanding of kernels but also inspires further exploration and research. Suitable for students, researchers, and practitioners, it invites readers to engage with ongoing advances in this dynamic field and to contribute to its future growth.…

brossura. Condición: Ottimo (Fine). Opera con copertina morbida in brossura. ill. in b/n ft e nt. AM. Book.

Buch. Condición: Neu. Neuware - Kernel methods, with origins in the pioneering work of Mercer (1909), Bochner (1933), and Aronszajn (1950), have become central tools in modern mathematics and machine learning. This book explores their deep connections with approximation theory, highlighting both classical results and cutting-edge developments. Through clear explanations and illustrative examples, it guides readers from foundational concepts to contemporary applications, including computational methods and real-world problem solving. By bridging theory and practice, the text not only provides a rigorous understanding of kernels but also inspires further exploration and research. Suitable for students, researchers, and practitioners, it invites readers to engage with ongoing advances in this dynamic field and to contribute to its future growth.…

Condición: NEW.

Condición: New.

Condición: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.

Condición: New.

Hardcover. Condición: new. Hardcover. Kernel methods, with origins in the pioneering work of Mercer (1909), Bochner (1933), and Aronszajn (1950), have become central tools in modern mathematics and machine learning. This book explores their deep connections with approximation theory, highlighting both classical results and cutting-edge developments. Through clear explanations and illustrative examples, it guides readers from foundational concepts to contemporary applications, including computational methods and real-world problem solving. By bridging theory and practice, the text not only provides a rigorous understanding of kernels but also inspires further exploration and research. Suitable for students, researchers, and practitioners, it invites readers to engage with ongoing advances in this dynamic field and to contribute to its future growth. Kernel methods represent a vibrant area of research with many open questions. The interplay between approximation theory, machine learning, and computational mathematics continues to generate new insights and techniques. This text provides both established results and a window into current research trends aiming to stimulate readers in this field. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: New.

Hardcover. Condición: Brand New. 242 pages. 6.00x0.56x9.00 inches. In Stock.

Hardback. Condición: New. Kernel methods, with origins in the pioneering work of Mercer (1909), Bochner (1933), and Aronszajn (1950), have become central tools in modern mathematics and machine learning. This book explores their deep connections with approximation theory, highlighting both classical results and cutting-edge developments. Through clear explanations and illustrative examples, it guides readers from foundational concepts to contemporary applications, including computational methods and real-world problem solving. By bridging theory and practice, the text not only provides a rigorous understanding of kernels but also inspires further exploration and research. Suitable for students, researchers, and practitioners, it invites readers to engage with ongoing advances in this dynamic field and to contribute to its future growth.…

Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: New.