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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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Condizione: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides an in-depth exploration of statistical learning with reproducing kernels, an active area of research that can shed light on trends associated with deep neural networks. The author demonstrates how the concept of reproducing kernelHilbert Spaces (RKHS), accompanied with tools from regularization theory, can be effectively used in the design and justification of kernel learning algorithms, which can address problems in several areas of artificial intelligence. Also provided is a detailed description of two biomedical applications of the considered algorithms, demonstrating how close the theory is to being practically implemented.Among the book's several unique features is its analysis of a large class of algorithms of the Learning Theory that essentially comprise every linear regularization scheme, including Tikhonov regularization as a specific case. It also provides a methodology for analyzing not only different supervised learning problems, such as regression or ranking, but also different learning scenarios, such as unsupervised domain adaptation or reinforcement learning. By analyzing these topics using the same theoretical framework, rather than approaching them separately, their presentation is streamlined and made more approachable.An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces is an ideal resource for graduate and postgraduate courses in computationalmathematicsand data science.

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Taschenbuch. Condizione: Neu. An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces | Sergei Pereverzyev | Taschenbuch | Compact Textbooks in Mathematics | xiv | Englisch | 2022 | Springer | EAN 9783030983154 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

No binding. Condizione: New. V etoj knige sobrany sto samykh luchshikh blyud dlya semejnogo obeda po priznaniyu chitatelej kulinarnogo zhurnala Domashnij restoran. Otkrojte knigu, i prolistajte. U vas srazu vozniknet zhelanie bystree pristupit k prigotovleniyu, nogi sami ponesut na kukhnyu. Tak dejstvuet magiya etoj knigi. Vse retsepty s podrobnejshim opisaniem i poshagovymi foto. Vy smozhete gotovit vmeste s avtorami, ispolzuya pod rukoj gadzhety Nr. smartfon ili planshet, videt vse nyuansy kak gotovilos blyudo. Ostanavlivat video v nuzhnom meste i zavershiv chast raboty prodolzhat prosmatrivat video. Zadavat voprosy v chate pod video, i bystro poluchat otvety. Osnovnaya zadacha interaktivnoj knigi 'Domashnie obedy' - pomoshch vam na kazhdom shagu prigotovleniya blyuda, v lyuboe vremya. Eto ne prosto kniga - eto klub dlya tekh kto lyubit gotovit, i udobnoe posobie dlya tekh, kto khochet vkusno kormit svoyu semyu. 'Dlya tekh, kto kormit svoyu semyu!'.

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Condizione: New. 2024th edition NO-PA16APR2015-KAP.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book features a thoughtfully curated collection of research contributions spanning regularization theory, integral equations, learning theory, and matrix and operator theory. These contributions were presented in honor of Prof. M. Thamban Nair on his 65th birthday during the International Conference on Analysis, Inverse Problems, and Applications, which took place at the IIT Madras in Chennai, India, from July 18-21, 2022. The book is a valuable resource for graduate students, engineers, scientists, and researchers looking to advance their work in the development of innovative regularization algorithms. It comprises 14 chapters contributed by esteemed experts and emerging researchers.

Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Russisch | Produktart: Bücher | V e'toj knige sobrany` 100 zakusochny`x blyud iz kulinarnogo zhurnala «Domashnij restoran». Vse oni zasluzhili doverie nashix avtorov, sotni raz my` poluchili na nix polozhitel`ny`e chitatel`skie ocenki.V e'toj knige predstavleny`Domashnie zakuski:¿ iz pticy` i myasa ¿ iz ry`by` i moreproduktov¿ iz ovoshhej¿ solenie i marinovanie¿ dlya prazdnichnogo stolaVse recepty` s podrobnejshim opisaniem i poshagovy`mi foto, neodnokratno provereny`.Vy` smozhete:¿ gotovit` vmeste s avtorami blyud, ispol`zuya imeyushhiesya pod rukoj gadzhety` ¿ smartfon ili planshet;¿ videt` vse nyuansy` processa prigotovleniya blyuda;¿ ostanavlivat` video v nuzhnom meste i, zavershiv chast` raboty`, prodolzhat` prosmatrivat` videorecept;¿ zadavat` voprosy` v chate pod video i by`stro poluchat` otvety`.Osnovnaya zadacha serii knig «Zolotaya kollekciya receptov» ¿ stat` pomoshhnikom na kazhdom shagu prigotovleniya blyuda v lyuboe vremya. Vstupajte v nash klub lyubitelej kulinarii. E'ta kniga stanet interaktivny`m i universal`ny`m pomoshhnikom na vashej kuxne.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook provides an in-depth exploration of statistical learning with reproducing kernels, an active area of research that can shed light on trends associated with deep neural networks. The author demonstrates how the concept of reproducing kernelHilbert Spaces (RKHS), accompanied with tools from regularization theory, can be effectively used in the design and justification of kernel learning algorithms, which can address problems in several areas of artificial intelligence. Also provided is a detailed description of two biomedical applications of the considered algorithms, demonstrating how close the theory is to being practically implemented.Among the book's several unique features is its analysis of a large class of algorithms of the Learning Theory that essentially comprise every linear regularization scheme, including Tikhonov regularization as a specific case. It also provides a methodology for analyzing not only different supervised learning problems, such as regression or ranking, but also different learning scenarios, such as unsupervised domain adaptation or reinforcement learning. By analyzing these topics using the same theoretical framework, rather than approaching them separately, their presentation is streamlined and made more approachable.An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces is an ideal resource for graduate and postgraduate courses in computationalmathematicsand data science. 168 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores statistical learning with reproducing kernels, offering insight on trends associated with deep neural networksAnalyzes a class of algorithms of the Learning Theory, comprising most linear regularization schemesOffers a methodology .

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook provides an in-depth exploration of statistical learning with reproducing kernels, an active area of research that can shed light on trends associated with deep neural networks. The author demonstrates how the concept of reproducing kernel Hilbert Spaces (RKHS), accompanied with tools from regularization theory, can be effectively used in the design and justification of kernel learning algorithms, which can address problems in several areas of artificial intelligence. Also provided is a detailed description of two biomedical applications of the considered algorithms, demonstrating how close the theory is to being practically implemented.Among the book's several unique features is its analysis of a large class of algorithms of the Learning Theory that essentially comprise every linear regularization scheme, including Tikhonov regularization as a specific case. It also provides a methodology for analyzing not only different supervised learning problems, such as regression or ranking, but also different learning scenarios, such as unsupervised domain adaptation or reinforcement learning. By analyzing these topics using the same theoretical framework, rather than approaching them separately, their presentation is streamlined and made more approachable.An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces is an ideal resource for graduate and postgraduate courses in computational mathematics and data science.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 168 pp. Englisch.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores the CAD/CAM technology used in digital restorative dentistry, the specific clinical cases where it is applied, and how each critical component of this technology works - intraoral scanning, prosthetic design, and fabrication. It examines advancements in the field of digital restorative dentistry along with a variety of topics, including scanners, prosthetic design software, materials, and methods used in prosthetic construction such as 3D printing, sintering, and laser processing. Both dentists and students will benefit from the comprehensive coverage of topics and can update their knowledge by learning about the innovations brought by the technological revolution in dentistry.

Buch. Condizione: Neu. Digital Dentistry | A Review of Modern Innovations for CAD/CAM Generated Restoration | Vladyslav Pereverzyev | Buch | Englisch | 2022 | Youcanprint | EAN 9791221408607 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Condizione: new. Questo è un articolo print on demand.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book features a thoughtfully curated collection of research contributions spanning regularization theory, integral equations, learning theory, and matrix and operator theory. These contributions were presented in honor of Prof. M. Thamban Nair on his 65th birthday during the International Conference on Analysis, Inverse Problems, and Applications, which took place at the IIT Madras in Chennai, India, from July 18-21, 2022. The book is a valuable resource for graduate students, engineers, scientists, and researchers looking to advance their work in the development of innovative regularization algorithms. It comprises 14 chapters contributed by esteemed experts and emerging researchers. 340 pp. Englisch.

Condizione: New. PRINT ON DEMAND.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book features a thoughtfully curated collection of research contributions spanning regularization theory, integral equations, learning theory, and matrix and operator theory. These contributions were presented in honor of Prof. M. Thamban Nair on his 65th birthday during the International Conference on Analysis, Inverse Problems, and Applications, which took place at the IIT Madras in Chennai, India, from July 18-21, 2022. The book is a valuable resource for graduate students, engineers, scientists, and researchers looking to advance their work in the development of innovative regularization algorithms. It comprises 14 chapters contributed by esteemed experts and emerging researchers.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 340 pp. Englisch.