Articles liés à Multiview Machine Learning
Synopsis
This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learning in real data analysis. Incorporating multiple views to improve the generalization performance, multiview learning is also known as data fusion or data integration from multiple feature sets. This self-contained book is applicable for multi-modal learning research, and requires minimal prior knowledge of the basic concepts in the field. It is also a valuable reference resource for researchers working in the field of machine learning and also those in various application domains.
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À propos de l?auteur
Shiliang Sun received his Ph.D. degree in pattern recognition and intelligent systems from Tsinghua University, Beijing, China, in 2007. He is now a professor at the Department of Computer Science and Technology and the head of the Pattern Recognition and Machine Learning Research Group, East China Normal University, Shanghai, China. His current research interests include multiview learning, kernel methods, learning theory, probabilistic models, approximate inference, and sequential modeling. He has published 150+ research articles at peer-reviewed journals and international conferences. Prof. Sun is on the editorial board of several international journals, including IEEE Transactions on Neural Networks and Learning Systems, Information Fusion, and Pattern Recognition.
Liang Mao is a senior Ph.D. student at the Department of Computer Science and Technology and the Pattern Recognition and Machine Learning Research Group, East China Normal University, Shanghai, China.His main research interest is multiview learning and probabilistic models.
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Multiview Machine Learning.
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Singapore, Springer., 2019
ISBN 10 : 981133028X
ISBN 13 : 9789811330285
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Multiview Machine Learning
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Springer, 2019
ISBN 10 : 981133028X
ISBN 13 : 9789811330285
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Multiview Machine Learning
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Springer, 2019
ISBN 10 : 981133028X
ISBN 13 : 9789811330285
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Multiview Machine Learning
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ISBN 13 : 9789811330285
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Multiview Machine Learning
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Springer Singapore, 2019
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first comprehensive and in-depth book on multiview machine learningBlends theory and practice, presenting state-of-the-art methodologiesEquips readers to handle complex data analysis tasks with advanced . N° de réf. du vendeur 255209630
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Multiview Machine Learning
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Multiview Machine Learning
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Springer Nature Singapore Jan 2019, 2019
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learning in real data analysis. Incorporating multiple views to improve the generalization performance, multiview learning is also known as data fusion or data integration from multiple feature sets. This self-contained book is applicable for multi-modal learning research, and requires minimal prior knowledge of the basic concepts in the field. It is also a valuable reference resource for researchers working in the field of machine learning and also those in various application domains. 160 pp. Englisch. N° de réf. du vendeur 9789811330285
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Multiview Machine Learning
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Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10 : 981133028X
ISBN 13 : 9789811330285
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learning in real data analysis. Incorporating multiple views to improve the generalization performance, multiview learning is also known as data fusion or data integration from multiple feature sets. This self-contained book is applicable for multi-modal learning research, and requires minimal prior knowledge of the basic concepts in the field. It is also a valuable reference resource for researchers working in the field of machine learning and also those in various application domains. N° de réf. du vendeur 9789811330285
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Multiview Machine Learning
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Springer Nature Singapore, Springer Nature Singapore Jan 2019, 2019
ISBN 10 : 981133028X
ISBN 13 : 9789811330285
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. Neuware -This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learning in real data analysis. Incorporating multiple views to improve the generalization performance, multiview learning is also known as data fusion or data integration from multiple feature sets. This self-contained book is applicable for multi-modal learning research, and requires minimal prior knowledge of the basic concepts in the field. It is also a valuable reference resource for researchers working in the field of machine learning and also those in various application domains.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 160 pp. Englisch. N° de réf. du vendeur 9789811330285
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Multiview Machine Learning
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