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Machine Learning Paradigms. Advances in Learning Analytics.
Book 128 of 188: Intelligent Systems Reference LibrarySeller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
XVI, 223 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Intelligent Systems Reference Library. Volume 158. Sprache: Englisch.
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Machine Learning Paradigms. Advances in Data Analytics.
Book 120 of 188: Intelligent Systems Reference LibrarySeller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
xvi, 370 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Machine Learning Paradigms: Advances in Data Analytics (Intelligent Systems Reference Library, 149)
Book 120 of 188: Intelligent Systems Reference LibraryUS$ 99.74
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators¿ and learners¿ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including:¿ Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation;¿ Using learning analytics to predict student performance;¿ Using learning analytics to create learning materials and educational courses; and¿ Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.
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Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications (Learning and Analytics in Intelligent Systems, 18)
Book 18 of 29: Learning and Analytics in Intelligent SystemsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 189.18
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Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications (Learning and Analytics in Intelligent Systems)
Book 18 of 29: Learning and Analytics in Intelligent SystemsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 189.18
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Machine Learning Paradigms: Advances in Learning Analytics (Intelligent Systems Reference Library, 158)
Book 128 of 188: Intelligent Systems Reference LibrarySeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 189.18
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Machine Learning Paradigms : Advances in Learning Analytics
Book 128 of 188: Intelligent Systems Reference LibrarySeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 190.56
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Machine Learning Paradigms: Advances in Data Analytics (Intelligent Systems Reference Library, 149)
Book 120 of 188: Intelligent Systems Reference LibrarySeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 217.35
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Recent Advances in Logo Detection Using Machine Learning Paradigms (Hardcover)
Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031598105 ISBN 13: 9783031598104
Hardcover. Condition: new. Hardcover. This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and domain adaptation for logo detection, and describes recent advancement in object detection frameworks using deep learning. We offer solutions to the major problems such as the lack of training data and the domain-shift issues.This book provides numerous ways that deep learners can use for logo recognition, including:Deep learning-based end-to-end trainable architecture for logo detectionWeakly supervised logo recognition approach using attention mechanismsAnchor-free logo detection framework combining attention mechanisms to precisely locate logos in the real-world imagesUnsupervised logo detection that takes into account domain-shift issues from synthetic to real-world imagesApproach for logo detection modeling domain adaption task in the context of weakly supervised learning to overcome the lack of object-level annotation problem.The merit of our logo recognition technique is demonstrated using experiments, performance evaluation, and feature distribution analysis utilizing different deep learning frameworks.The book is directed to professors, researchers, practitioners in the field of engineering, computer science, and related fields as well as anyone interested in using deep learning techniques and applications in logo and various object detection tasks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Machine Learning Paradigms : Advances in Learning Analytics
Book 128 of 188: Intelligent Systems Reference LibrarySeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 214.44
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Machine Learning Paradigms : Advances in Data Analytics
Book 120 of 188: Intelligent Systems Reference LibrarySeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 218.73
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Condition: As New. Unread book in perfect condition.
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
