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Hypergraph Computation by Qionghai Dai HARDBACK 9789819901845
Hypergraph Computation by Qionghai Dai HARDBACK 9789819901845
Hypergraph Computation by Qionghai Dai HARDBACK 9789819901845
Hypergraph Computation by Qionghai Dai HARDBACK 9789819901845
Hypergraph Computation by Qionghai Dai HARDBACK 9789819901845
Hypergraph Computation by Qionghai Dai HARDBACK 9789819901845
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Hypergraph Computation by Qionghai Dai HARDBACK 9789819901845

Hypergraph ComputationAuthor(s): Qionghai Dai, Yue Gao

Format: Hardback

Publisher: Springer Verlag, Singapore, Singapore

Imprint: Springer Verlag, Singapore

ISBN-13: 9789819901845, 978-9819901845

Synopsis

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 relationallearningtasks. 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 learningtasks.

Hypergraph, as a generation of graph, has shown superior per.

Price now:

£40.42
View Cheapest Offer £40.42

Hypergraph Computation by Qionghai Dai HARDBACK 9789819901845

Hypergraph ComputationAuthor(s): Qionghai Dai, Yue Gao

Format: Hardback

Publisher: Springer Verlag, Singapore, Singapore

Imprint: Springer Verlag, Singapore

ISBN-13: 9789819901845, 978-9819901845

Synopsis

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 relationallearningtasks. 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 learningtasks.

Hypergraph, as a generation of graph, has shown superior per.

Price now:

£40.42
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Hypergraph ComputationAuthor(s): Qionghai Dai, Yue Gao

Format: Hardback

Publisher: Springer Verlag, Singapore, Singapore

Imprint: Springer Verlag, Singapore

ISBN-13: 9789819901845, 978-9819901845

Synopsis

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 relationallearningtasks. 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 learningtasks.

Hypergraph, as a generation of graph, has shown superior per.

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format

hardback

Language

english

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