Machine Learning and Knowledge Extraction : 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, Virtual Event, August 17–20, 2021, Proceedings
This book constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain ...
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Machine Learning and Probabilistic Graphical Models for Decision Support Systems / Kim Phuc Tran
Presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems ...
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Machine Learning for Audio, Image and Video Analysis : Theory and Applications
The book is organized in four parts: The first focuses on technical aspects, basic mathematical notions and elementary machine ...
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Machine Learning for Cyber Agents : Attack and Defence / Stanislav Abaimov, Maurizio Martellini
The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services ...
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Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2020
This book proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It ...
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Machine Learning for Cyber Physical Systems
This book presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. Cyber Physical ...
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Machine Learning for Cyber Security
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber ...
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Machine Learning for Cyber Security
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber ...
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Machine Learning for Cyber Security
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber ...
Continue readingMachine Learning for Data Streams: with Practical Examples in MOA
The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, ...
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Machine Learning for Multimedia Content Analysis
Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia ...
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Machine Learning for Multimodal Interaction : 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007, Revised Selected Papers
This book contains a selection of revised papers from the 4th Workshop on Machine Learning for Multimodal Interaction (MLMI ...
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Machine Learning for Multimodal Interaction : 5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008. Proceedings
The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements ...
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Machine Learning in Dentistry
This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance ...
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Machine Learning in Healthcare : Fundamentals and Recent Applications / Bikesh Kumar Singh, G.R. Sinha
Discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications ...
Continue readingMachine Learning, Image Processing, Network Security and Data Sciences
This two-volume set (CCIS 1240-1241) constitutes the refereed proceedings of the Second International Conference on Machine ...
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Machine Learning, Image Processing, Network Security and Data Sciences
This two-volume set (CCIS 1240-1241) constitutes the refereed proceedings of the Second International Conference on Machine ...
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Managing Agile Business Technology : The Business and Technology Relationship Model in Practice / David Miller
Describes in detail how the BTRM, combined with a focus on value creation and value delivery, will enable continuous change, ...
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Manual of Digital Earth
This book offers a summary of the development of Digital Earth over the past twenty years. By reviewing the initial vision ...
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Markov Models for Pattern Recognition : From Theory to Applications
This comprehensive introduction to the Markov modeling framework describes the underlying theoretical concepts - covering ...
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