Machine learning paradigms advances (22 Ergebnisse)
Machine Learning Paradigms. Advances in Learning Analytics.
Virvou, Maria; Alepis, Efthimios; Tsihrintzis, George A.; Jain, Lakhmi C. (Eds.)
Sprache: Englisch
Verlag: Cham, Springer. 2020
Serie: Intelligent Systems Reference Library, Buch 128 von 188. Buch 128 von 188 - Intelligent Systems Reference Library
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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.
Sprache: Englisch
Verlag: Springer 2021
Serie: Learning and Analytics in Intelligent Systems, Buch 18 von 29. Buch 18 von 29 - Learning and Analytics in Intelligent Systems
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Sprache: Englisch
Verlag: Springer 2019
Serie: Intelligent Systems Reference Library, Buch 128 von 188. Buch 128 von 188 - Intelligent Systems Reference Library
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Sprache: Englisch
Verlag: Springer 2018
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Weitere BilderSprache: Englisch
Verlag: Springer 2021
Serie: Learning and Analytics in Intelligent Systems, Buch 18 von 29. Buch 18 von 29 - Learning and Analytics in Intelligent Systems
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Taschenbuch. Zustand: Neu. Machine Learning Paradigms | Advances in Deep Learning-based Technological Applications | George A. Tsihrintzis (u. a.) | Taschenbuch | Learning and Analytics in Intelligent Systems | xii | Englisch | 2021 | Springer | EAN 9783030497262 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergar…tenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Recent Advances in Logo Detection Using Machine Learning Paradigms | Theory and Practice | Yen-Wei Chen (u. a.) | Taschenbuch | Intelligent Systems Reference Library | xii | Englisch | 2025 | Springer | EAN 9783031598135 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 6912…1 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing 2021
Serie: Learning and Analytics in Intelligent Systems, Buch 18 von 29. Buch 18 von 29 - Learning and Analytics in Intelligent Systems
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many an…d diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance.This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.
Sprache: Englisch
Verlag: Springer International Publishing 2020
Serie: Learning and Analytics in Intelligent Systems, Buch 18 von 29. Buch 18 von 29 - Learning and Analytics in Intelligent Systems
- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diver…se other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance.This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.
Sprache: Englisch
Verlag: Springer 2018
Serie: Intelligent Systems Reference Library, Buch 120 von 188. Buch 120 von 188 - Intelligent Systems Reference Library
- Softcover
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Taschenbuch. Zustand: Neu. Machine Learning Paradigms | Advances in Data Analytics | George A. Tsihrintzis (u. a.) | Taschenbuch | xvi | Englisch | 2018 | Springer | EAN 9783030067779 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbiete…r: preigu.
Sprache: Englisch
Verlag: Springer 2019
Serie: Intelligent Systems Reference Library, Buch 128 von 188. Buch 128 von 188 - Intelligent Systems Reference Library
- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 th…e 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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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.
Sprache: Englisch
Verlag: Springer 2019
Serie: Intelligent Systems Reference Library, Buch 128 von 188. Buch 128 von 188 - Intelligent Systems Reference Library
- Hardcover
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Zustand: 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 learner…s¿ 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.
Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland 2024
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 recen…t 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.
Sprache: Englisch
Verlag: Springer 2019
Serie: Intelligent Systems Reference Library, Buch 128 von 188. Buch 128 von 188 - Intelligent Systems Reference Library
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Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing 2018
Serie: Intelligent Systems Reference Library, Buch 120 von 188. Buch 120 von 188 - Intelligent Systems Reference Library
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emer…ging as a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities.The need for data analytics arises in most modern scientific disciplines, including engineering; natural-, computer- and information sciences; economics; business; commerce; environment; healthcare; and life sciences.Coming as the third volume under the general title MACHINE LEARNING PARADIGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Networks, (4) Data Analytics for Digital Forensics, and (5) Theoretical Advances and Tools for Data Analytics.This research book is intended for both experts/researchers in the field of data analytics, and readers working in the fields of artificial and computational intelligence as well as computer science in general who wish to learn more about the field of data analytics and its applications. An extensive list of bibliographic references at the end of each chapter guides readers to probe further into the application areas of interest to them.
Sprache: Englisch
Verlag: Springer-Nature New York Inc 2021
Serie: Learning and Analytics in Intelligent Systems, Buch 18 von 29. Buch 18 von 29 - Learning and Analytics in Intelligent Systems
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Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications
Tsihrintzis, George A. (Edited by)/ Jain, Lakhmi C. (Edited by)
Sprache: Englisch
Verlag: Springer 2020
Serie: Learning and Analytics in Intelligent Systems, Buch 18 von 29. Buch 18 von 29 - Learning and Analytics in Intelligent Systems
- Hardcover
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Sprache: Englisch
Verlag: Springer 2018
Serie: Intelligent Systems Reference Library, Buch 120 von 188. Buch 120 von 188 - Intelligent Systems Reference Library
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as… a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities.The need for data analytics arises in most modern scientific disciplines, including engineering; natural-, computer- and information sciences; economics; business; commerce; environment; healthcare; and life sciences.Coming as the third volume under the general title MACHINE LEARNING PARADIGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Networks, (4) Data Analytics for Digital Forensics, and (5) Theoretical Advances and Tools for Data Analytics.This research book is intended for both experts/researchers in the field of data analytics, and readers working in the fields of artificial and computational intelligence as well as computer science in general who wish to learn more about the field of data analytics and its applications. An extensive list of bibliographic references at the end of each chapter guides readers to probe further into the application areas of interest to them.
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Sprache: Englisch
Verlag: Springer 2018
Serie: Intelligent Systems Reference Library, Buch 120 von 188. Buch 120 von 188 - Intelligent Systems Reference Library
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