Da: Biblio Pursuit, Lenhartsville, PA, U.S.A.
Prima edizione
Soft cover. Condizione: As New. 1st Edition. As New!! First Printing.
Da: Bookbot, Prague, Repubblica Ceca
EUR 14,16
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Aggiungi al carrelloHardcover. Condizione: Fair. Beschriftungen / Markierungen bis 20 %; Leichte Rillen / Abschürfungen / Risse / Knicke. This open access book explores the theory and methods of hypergraph computation, highlighting how complex relationships among data can be effectively represented. While traditional graph-based learning and neural network methods have advanced in processing data across fields like computer vision and molecular biology, they often simplify relationships to pairwise interactions, risking valuable information loss. Hypergraphs, as an extension of graphs, excel in modeling these intricate correlations. Recent years have seen a surge in research on hypergraph-related AI methods, applied in areas such as social media analysis and beyond. This book introduces hypergraph computation as a new paradigm for capturing high-order correlations in data, enabling semantic computing for various applications. It covers topics including hypergraph computation paradigms, modeling, structure evolution, neural networks, and applications across diverse fields. Additionally, the book summarizes recent achievements and outlines future directions in hypergraph computation, providing a comprehensive overview of this emerging area of study.
Condizione: Used. pp. 104.
Da: Majestic Books, Hounslow, Regno Unito
EUR 32,49
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Aggiungi al carrelloCondizione: Used. pp. 104.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Da: Revaluation Books, Exeter, Regno Unito
EUR 31,75
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 154 pages. 9.25x6.25x0.50 inches. In Stock.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 33,12
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Aggiungi al carrelloCondizione: Used. pp. 104.
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2023
ISBN 10: 9819901871 ISBN 13: 9789819901876
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione
Paperback. Condizione: new. Paperback. This open access book discusses the theory and methods of hypergraph computation. Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly suitable for handling relational learning tasks. In many real-world problems, however, relationships among the objects of our interest are more complexthan pair-wise. Naively squeezing the complex relationships into pairwise ones will inevitably lead to loss of information which can be expected valuable for learning tasks. Hypergraph, as a generation of graph, has shown superior performance on modelling complex correlations compared with graph. Recent years have witnessed a great popularity of researches on hypergraph-related AI methods, which have been used in computer vision, social media analysis, etc. We summarize these attempts as a new computing paradigm, called hypergraph computation, which is to formulate thehigh-order correlations underneath the data using hypergraph, and then conduct semantic computing on the hypergraph for different applications. The content of this book consists of hypergraph computation paradigms, hypergraph modelling, hypergraph structure evolution, hypergraph neural networks, and applications of hypergraph computation in different fields. We further summarize recent achievements and future directions on hypergraph computation in this book. The content of this book consists of hypergraph computation paradigms, hypergraph modelling, hypergraph structure evolution, hypergraph neural networks, and applications of hypergraph computation in different fields. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condizione: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
Da: Majestic Books, Hounslow, Regno Unito
EUR 37,93
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 154.
Da: Majestic Books, Hounslow, Regno Unito
EUR 38,21
Quantità: 1 disponibili
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 43,72
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Lingua: Inglese
Editore: Morgan Kaufmann 2014-12-08, 2014
ISBN 10: 0128024194 ISBN 13: 9780128024195
Da: Chiron Media, Wallingford, Regno Unito
EUR 28,93
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Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Morgan Kaufmann 2015-03-16, 2015
ISBN 10: 0128024097 ISBN 13: 9780128024096
Da: Chiron Media, Wallingford, Regno Unito
EUR 30,91
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 47,86
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 38,36
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 154.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 44,53
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 154.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 45,10
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 42,82
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 58,45
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2023
ISBN 10: 9819901847 ISBN 13: 9789819901845
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione
Hardcover. Condizione: new. Hardcover. This open access book discusses the theory and methods of hypergraph computation. Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly suitable for handling relational learning tasks. In many real-world problems, however, relationships among the objects of our interest are more complexthan pair-wise. Naively squeezing the complex relationships into pairwise ones will inevitably lead to loss of information which can be expected valuable for learning tasks. Hypergraph, as a generation of graph, has shown superior performance on modelling complex correlations compared with graph. Recent years have witnessed a great popularity of researches on hypergraph-related AI methods, which have been used in computer vision, social media analysis, etc. We summarize these attempts as a new computing paradigm, called hypergraph computation, which is to formulate thehigh-order correlations underneath the data using hypergraph, and then conduct semantic computing on the hypergraph for different applications. The content of this book consists of hypergraph computation paradigms, hypergraph modelling, hypergraph structure evolution, hypergraph neural networks, and applications of hypergraph computation in different fields. We further summarize recent achievements and future directions on hypergraph computation in this book. The content of this book consists of hypergraph computation paradigms, hypergraph modelling, hypergraph structure evolution, hypergraph neural networks, and applications of hypergraph computation in different fields. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Morgan Kaufmann 2015-03-16, 2015
ISBN 10: 0128024097 ISBN 13: 9780128024096
Da: Chiron Media, Wallingford, Regno Unito
EUR 42,47
Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 48,37
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Da: California Books, Miami, FL, U.S.A.
EUR 66,15
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 65,53
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EUR 54,48
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 51,62
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 60,58
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Aggiungi al carrelloCondizione: New. In.