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Introduction to Microprocessor-Based Systems Design
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Very Good.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Optimization, Learning Algorithms and Applications (Paperback)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 3032001390 ISBN 13: 9783032001399
Paperback. Condition: new. Paperback. The two-volume set CCIS 2617 and 2618 constitutes the refereed post-conference proceedings of the 5th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2025, held in Sesti Levante, Italy, during April 2830, 2025.The 38 revised full papers presented in these proceedings were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections:Part I: Optimization; Optimization in Control Systems Design; Artificial Intelligence in Healthcare and Medicine; and Deep Learning.Part II: Optimization in the SDG context; Machine Learning; and Machine Learning and Artificial Intelligence in Robotics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Condition: As New. Unread book in perfect condition.
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Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
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Hardcover. Condition: As New. 1. Auflage. from Germany, will be dispatched immediately.
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Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Introduction to Microprocessor-Based Systems Design
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 84.44
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Introduction to Digital Systems Design
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 84.44
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Optimization, Learning Algorithms and Applications
Language: English
Published by Springer, Springer Okt 2025, 2025
ISBN 10: 3032001390 ISBN 13: 9783032001399
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -The two-volume set CCIS 2617 and 2618constitutes the refereed post-conferenceproceedings of the 5th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2025, held in Sesti Levante, Italy, during April 28 30, 2025.The 38 revised full papers presented in these proceedings were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections:Part I: Optimization; Optimization in Control Systems Design; Artificial Intelligence in Healthcare and Medicine; and Deep Learning.Part II: Optimization in the SDG context; Machine Learning; and Machine Learning and Artificial Intelligence in Robotics. 280 pp. Englisch.
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Optimization, Learning Algorithms and Applications: 5th International Conference, Ol2a 2025, Sesti Levante, Italy, April 2830, 2025, Proceedings
Language: English
Published by Springer-Nature New York Inc, 2025
ISBN 10: 3032001390 ISBN 13: 9783032001399
US$ 107.52
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Add to basketPaperback. Condition: Brand New. 278 pages. 9.25x6.10x9.25 inches. In Stock.
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Model Selection and Error Estimation in a Nutshell (Paperback)
Book 11 of 14: Modeling and Optimization in Science and TechnologiesLanguage: English
Published by Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030243613 ISBN 13: 9783030243616
Paperback. Condition: new. Paperback. How can we select the best performing data-driven model? How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper bounding the true error of the learned model based just on quantities computed on the available data. However, for a long time, Statistical learning theory has been considered only an abstract theoretical framework, useful for inspiring new learning approaches, but with limited applicability to practical problems. The purpose of this book is to give an intelligible overview of the problems of model selection and error estimation, by focusing on the ideas behind the different statistical learning theory approaches and simplifying most of the technical aspects with the purpose of making them more accessible and usable in practice. The book starts by presenting the seminal works of the 80s and includes the most recent results. It discusses open problems and outlines future directions for research. Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper bounding the true error of the learned model based just on quantities computed on the available data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
