Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Springer Nature Switzerland AG, CH, 2022
ISBN 10: 3030958620 ISBN 13: 9783030958626
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. 1st ed. 2022. This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The authors' reformulation of the identification problem in the light of regularization theory not only offers new insight on classical questions, but paves the way to new and powerful algorithms for a variety of linear and nonlinear problems. Regression methods such as regularization networks and support vector machines are the basis of techniques that extend the function-estimation problem to the estimation of dynamic models. Many examples, also from real-world applications, illustrate the comparative advantages of the new nonparametric approach with respect to classic parametric prediction error methods.The challenges it addresses lie at the intersection of several disciplines so Regularized System Identification will be of interest to a variety of researchers and practitioners in the areas of control systems, machine learning, statistics, and data science.This is an open access book.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 22.30
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Condition: Fine. *Price HAS BEEN REDUCED by 10% until Monday, March 2 (weekend SALE item)* 382 pp., paperback, handstamp to half title page, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Condition: New.
Seller: Basi6 International, Irving, TX, U.S.A.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condition: New. pp. 388.
Condition: New. pp. 388 Illus.
Condition: New. pp. 388.
Language: English
Published by Springer Nature Switzerland AG, CH, 2022
ISBN 10: 3030958620 ISBN 13: 9783030958626
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. 1st ed. 2022. This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The authors' reformulation of the identification problem in the light of regularization theory not only offers new insight on classical questions, but paves the way to new and powerful algorithms for a variety of linear and nonlinear problems. Regression methods such as regularization networks and support vector machines are the basis of techniques that extend the function-estimation problem to the estimation of dynamic models. Many examples, also from real-world applications, illustrate the comparative advantages of the new nonparametric approach with respect to classic parametric prediction error methods.The challenges it addresses lie at the intersection of several disciplines so Regularized System Identification will be of interest to a variety of researchers and practitioners in the areas of control systems, machine learning, statistics, and data science.This is an open access book.
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 94.60
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 114.30
Quantity: Over 20 available
Add to basketCondition: New. In.
Taschenbuch. Condition: Neu. Modeling, Estimation and Control | Festschrift in Honor of Giorgio Picci on the Occasion of his Sixty-Fifth Birthday | Alessandro Chiuso (u. a.) | Taschenbuch | xxvi | Englisch | 2007 | Springer | EAN 9783540735694 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 134.30
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 134.29
Quantity: Over 20 available
Add to basketCondition: New.
Language: English
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007
ISBN 10: 3540735690 ISBN 13: 9783540735694
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This Festschrift is intended as a homage to our esteemed colleague, friend and maestro Giorgio Picci on the occasion of his sixty- fth birthday. We have knownGiorgiosince our undergraduatestudies at the University of Padova, wherewe rst experiencedhisfascinatingteachingin theclass ofSystem Identi cation. While progressing through the PhD program, then continuing to collaborate with him and eventually becoming colleagues, we have had many opportunitiesto appreciate the value of Giorgio as a professor and a scientist, and chie y as a person. We learned a lot from him and we feel indebted for his scienti c guidance, his constant support, encouragement and enthusiasm. For these reasons we are proud to dedicate this book to Giorgio. The articles in the volume will be presented by prominent researchers at the - ternational Conference on Modeling, Estimation and Control: A Symposium in Honor of Giorgio Picci on the Occasion of his Sixty-Fifth Birthday , to be held in Venice on October 4-5, 2007. The material covers a broad range of topics in mathematical systems theory, esti- tion, identi cation and control, re ecting the wide network of scienti c relationships established during the last thirty years between the authors and Giorgio. Critical d- cussion of fundamental concepts, close collaboration on speci c topics, joint research programs in this group of talented people have nourished the development of the eld, where Giorgio has contributed to establishing several cornerstones.
Language: English
Published by Springer-Verlag GmbH, 2007
ISBN 10: 3540735690 ISBN 13: 9783540735694
Seller: Buchpark, Trebbin, Germany
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 356 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 165.99
Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Language: English
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3540735690 ISBN 13: 9783540735694
Seller: Mispah books, Redhill, SURRE, United Kingdom
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.