Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
EUR 22,00
Cantidad disponible: 1 disponibles
Añadir al carritoxviii, 503 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. Sprache: Englisch.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 53,74
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 61,36
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 61,73
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Springer Verlag, Singapore, Singapore, 2026
ISBN 10: 9819556368 ISBN 13: 9789819556366
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 66,90
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. This book constitutes the refereed proceedings of the 31st China Conference on Information Retrieval, CCIR 2025, held in Wuhan, China, during August 1517, 2025.The 9 full papers were presented in this volume were carefully reviewed and selected from 13 submissions. This conference focuses on the deep integration of large language models with classic retrieval paradigms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 71,47
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 60,55
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 60,55
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 79,66
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. xi + 204.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 76,43
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 144 pages. 6.10x0.35x9.25 inches. In Stock.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 88,06
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 80,20
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 2014 edition. 204 pages. 9.25x6.50x0.75 inches. In Stock.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 77,53
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. reprint edition. 216 pages. 9.25x6.10x0.51 inches. In Stock.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 112,60
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 204.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 58,39
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 31st China Conference on Information Retrieval, CCIR 2025, held in Wuhan, China, during August 15 17, 2025.The 9 full papers were presented in this volume were carefully reviewed and selected from 13 submissions. This conference focuses on the deep integration of large language models with classic retrieval paradigms.
Librería: preigu, Osnabrück, Alemania
EUR 50,35
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Information Retrieval | 31st China Conference, CCIR 2025, Shihezi, China, August 15-17, 2025, Revised Selected Papers | Zhigang Li (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xi | Englisch | 2026 | Springer | EAN 9789819556366 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer Verlag, Singapore, Singapore, 2026
ISBN 10: 9819557941 ISBN 13: 9789819557943
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 144,48
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. Graph Neural Networks (GNNs) have revolutionized the way we learn representations from graph-structured data, becoming a cornerstone for applications in social networks, recommendation systems, biology, and beyond. However, mainstream GNNs rely heavily on message passing, an iterative process of propagating information between connected nodes. While powerful, this method often incurs significant computational costs, making efficient training a growing challenge as graph sizes scale up.This book addresses these challenges by offering a comprehensive exploration of efficient GNN training through the lens of data management. It highlights how innovative techniques, rooted in decades of graph processing research, can optimize the entire training process without compromising performance. By focusing on system-level enhancements and practical solutions, it provides actionable strategies to overcome efficiency bottlenecks in large-scale GNN training.Readers will gain a deeper understanding of the graph data lifecycle in GNN training, with examples that demonstrate how data management techniques can significantly enhance scalability and performance. The book is designed for a broad audience, including students, researchers, and professionals, offering clear explanations and practical insights for anyone looking to master efficient GNN training. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 148,39
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 164,32
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
EUR 127,12
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por World Scientific Publishing Company, 1998
ISBN 10: 9810236646 ISBN 13: 9789810236649
Librería: BOOKWEST, Phoenix, AZ, Estados Unidos de America
EUR 177,70
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: New. US SELLER SHIPS FAST FROM USA.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 180,51
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 193,58
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 203 pages. 6.14x0.50x9.21 inches. In Stock.
Idioma: Inglés
Publicado por Springer Verlag, Singapore Jul 2026, 2026
ISBN 10: 9819557941 ISBN 13: 9789819557943
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 146,98
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Graph Neural Networks (GNNs) have revolutionized the way we learn representations from graph-structured data, becoming a cornerstone for applications in social networks, recommendation systems, biology, and beyond. However, mainstream GNNs rely heavily on message passing, an iterative process of propagating information between connected nodes. While powerful, this method often incurs significant computational costs, making efficient training a growing challenge as graph sizes scale up.This book addresses these challenges by offering a comprehensive exploration of efficient GNN training through the lens of data management. It highlights how innovative techniques, rooted in decades of graph processing research, can optimize the entire training process without compromising performance. By focusing on system-level enhancements and practical solutions, it provides actionable strategies to overcome efficiency bottlenecks in large-scale GNN training.Readers will gain a deeper understanding of the graph data lifecycle in GNN training, with examples that demonstrate how data management techniques can significantly enhance scalability and performance. The book is designed for a broad audience, including students, researchers, and professionals, offering clear explanations and practical insights for anyone looking to master efficient GNN training.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 211,66
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 220,92
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 219,17
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Librería: moluna, Greven, Alemania
EUR 180,10
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Presents state-of-the-art research on smart learning from around the worldSets the future course of research and practice for effective futuristic learningGuides research on and practices in future learning environments.
Idioma: Inglés
Publicado por Springer Verlag, Singapore, Singapore, 2026
ISBN 10: 9819557941 ISBN 13: 9789819557943
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 207,57
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. Graph Neural Networks (GNNs) have revolutionized the way we learn representations from graph-structured data, becoming a cornerstone for applications in social networks, recommendation systems, biology, and beyond. However, mainstream GNNs rely heavily on message passing, an iterative process of propagating information between connected nodes. While powerful, this method often incurs significant computational costs, making efficient training a growing challenge as graph sizes scale up.This book addresses these challenges by offering a comprehensive exploration of efficient GNN training through the lens of data management. It highlights how innovative techniques, rooted in decades of graph processing research, can optimize the entire training process without compromising performance. By focusing on system-level enhancements and practical solutions, it provides actionable strategies to overcome efficiency bottlenecks in large-scale GNN training.Readers will gain a deeper understanding of the graph data lifecycle in GNN training, with examples that demonstrate how data management techniques can significantly enhance scalability and performance. The book is designed for a broad audience, including students, researchers, and professionals, offering clear explanations and practical insights for anyone looking to master efficient GNN training. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 170,64
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an archival forum for researchers, academics, practitioners and industry professionals interested and/or engaged in reforming teaching and learning methods by transforming today's learning environments into smart learning environments. It will facilitate opportunities for discussions and constructive dialogue between various stakeholders on the limitations of current learning environments, the need for reform, innovative uses of emerging pedagogical approaches and technologies, and sharing and promoting best practices, which will lead to the evolution, design and implementation of smart learning environments. The focus of the contributions is on the interplay and fusion of pedagogy and technology to create these new environments. The components of this interplay include but are not limited to:Pedagogy: learning paradigms, assessment paradigms, social factors, policy Technology: emerging technologies, innovative uses of mature technologies, adoption, usability, standards, and emerging/new technological paradigms (open educational resources, cloud computing, etc.)Fusion of pedagogy and technology: transformation of curricula, transformation of teaching behavior, transformation of administration, best practices of infusion, piloting of new ideas.