Tao Wu – författare
Visar alla böcker från författaren Tao Wu. Handla med fri frakt och snabb leverans.
6 produkter
Content Networking in the Mobile Internet
Inbunden, 2004
2135 kr
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Presents a combined view of content and wireless technologies useful to both the industry and academiaOffers a good mix of theory and practice to understand the internal working of the wireless/mobile content delivery networksBridges the gap between the wireless and content research …
Content Networking in the Mobile Internet
Av Tao Wu, Sudhir Dixit
E-bok, 2004
2476 kr
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Presents a combined view of content and wireless technologies useful to both the industry and academia Offers a good mix of theory and practice to understand the internal working of the wireless/mobile content delivery networks Bridges the gap between the wireless and content research communities …
Road to Overcome Cancer
E-bok, 2016
54 kr
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This book is the scientific summary of the authors fifty years of experience in tumor surgery and more than twenty years of cancer research results and clinical validation. The book is divided into three sections and fifteen chapters. The first chapter, Pathfinder, starts from the beginning of the …
Recommender Systems
Frontiers and Practices
Av Dongsheng Li, Jianxun Lian m. fl.
Inbunden, 2024
749 kr
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This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algorithms, and analyzes their advantages and limitations. Then, it addresses the fundamentals of deep learning, focusing on the deep-learning-based …
Recommender Systems
Frontiers and Practices
E-bok, 2024
923 kr
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This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algorithms, and analyzes their advantages and limitations. Then, it addresses the fundamentals of deep learning, focusing on the deep-learning-based …
Recommender Systems
Frontiers and Practices
Av Dongsheng Li, Jianxun Lian m. fl.
Häftad, 2025
681 kr
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This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algorithms, and analyzes their advantages and limitations. Then, it addresses the fundamentals of deep learning, focusing on the deep-learning-based …
