Recent Advances Applications Machine (71 results)

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Recent Advances in Stock Market Prediction: Applications of Machine Learning and Deep Learning
Manahov, Viktor (Author)/ Stafylas, Dimitrios (Author)/ Zhuang, Tianrong (Author)
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Language: English
Published by Springer 2023
Series: Intelligent Systems Reference Library, Book 183 of 188. Book 183 of 188 - Intelligent Systems Reference Library
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Language: English
Published by Springer 2022
Series: Intelligent Systems Reference Library, Book 183 of 188. Book 183 of 188 - Intelligent Systems Reference Library
- Hardcover
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data. In recent years, UDA has received significa…nt attention from the research community due to its applicability in various real-world scenarios. This book provides a comprehensive review of state-of-the-art UDA methods and explores new variants of UDA that have the potential to advance the field.The book begins with a clear introduction to the UDA problem and is mainly organized into four technical sections, each focused on a specific piece of UDA research. The first section covers criterion optimization-based UDA, which aims to learn domain-invariant representations by minimizing the discrepancy between source and target domains. The second section discusses bi-classifier adversarial learning-based UDA, which creatively leverages adversarial learning by conducting a minimax game between the feature extractor and two task classifiers. The third section introduces source-free UDA, a novel UDA setting that does not require any raw data from the source domain. The fourth section presents active learning for UDA, which combines domain adaptation and active learning to reduce the amount of labeled data needed for adaptation.This book is suitable for researchers, graduate students, and practitioners who are interested in UDA and its applications in various fields, primarily in computer vision. The chapters are authored by leading experts in the field and provide a comprehensive and in-depth analysis of the current UDA methods and new directions for future research. With its broad coverage and cutting-edge research, this book is a valuable resource for anyone looking to advance their knowledge of UDA.
More imagesLanguage: English
Published by Springer 2023
Series: Intelligent Systems Reference Library, Book 183 of 188. Book 183 of 188 - Intelligent Systems Reference Library
- Softcover
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Taschenbuch. Condition: Neu. Recent Advances in Internet of Things and Machine Learning | Real-World Applications | Valentina E. Balas (u. a.) | Taschenbuch | xxiv | Englisch | 2023 | Springer | EAN 9783030901219 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[…at]springer[dot]com | Anbieter: preigu.

Language: English
Published by Springer 2020
Series: Mechanisms and Machine Science, Book 68 of 139. Book 68 of 139 - Mechanisms and Machine Science
- Softcover
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Language: English
Published by Springer 2020
Series: Advances in Intelligent Systems and Computing, Book 465 of 540. Book 465 of 540 - Advances in Intelligent Systems and Computing
- Softcover
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Language: English
Published by Springer 2019
Series: Mechanisms and Machine Science, Book 68 of 139. Book 68 of 139 - Mechanisms and Machine Science
- Hardcover
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- Softcover
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Language: English
Published by Springer 2023
Series: Intelligent Systems Reference Library, Book 183 of 188. Book 183 of 188 - Intelligent Systems Reference Library
- Softcover
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

- Hardcover
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Language: English
Published by Springer 2022
Series: Intelligent Systems Reference Library, Book 183 of 188. Book 183 of 188 - Intelligent Systems Reference Library
- Hardcover
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Language: English
Published by Springer International Publishing 2022
Series: Intelligent Systems Reference Library, Book 183 of 188. Book 183 of 188 - Intelligent Systems Reference Library
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential compon…ents of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.

Language: English
Published by Springer International Publishing 2023
Series: Intelligent Systems Reference Library, Book 183 of 188. Book 183 of 188 - Intelligent Systems Reference Library
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential… components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.

- Softcover
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Taschenbuch. Condition: Neu. Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support | Kyandoghere Kyamakya (u. a.) | Taschenbuch | xv | Englisch | 2025 | Springer | EAN 9783031718236 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 6…9121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Language: English
Published by Springer 2020
Series: Advances in Intelligent Systems and Computing, Book 465 of 540. Book 465 of 540 - Advances in Intelligent Systems and Computing
- Softcover
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Condition: New. pp. 680.

Language: English
Published by Springer 2020
Series: Mechanisms and Machine Science, Book 68 of 139. Book 68 of 139 - Mechanisms and Machine Science
- Softcover
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Condition: New. pp. XIV, 649 525 illus., 357 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.

- Softcover
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Recent Advances in Internet of Things and Machine Learning: Real-world Applications
Balas, Valentina E. (Editor)/ Solanki, Vijender Kumar (Editor)/ Kumar, Raghvendra (Editor)
Language: English
Published by Springer Nature 2023
Series: Intelligent Systems Reference Library, Book 183 of 188. Book 183 of 188 - Intelligent Systems Reference Library
- Softcover
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