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ISBN 10: 1522590994 ISBN 13: 9781522590996
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Published by Information Science Reference, 2019
ISBN 10: 1522590994 ISBN 13: 9781522590996
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Published by Information Science Reference, 2019
ISBN 10: 152259096X ISBN 13: 9781522590965
Language: English
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Published by Information Science Reference, 2019
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Language: English
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Published by Information Science Reference, 2019
ISBN 10: 1522590994 ISBN 13: 9781522590996
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Add to basketPaperback. Condition: Brand New. 281 pages. 7.00x0.65x10.00 inches. In Stock.
Published by Information Science Reference, 2019
ISBN 10: 152259096X ISBN 13: 9781522590965
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Add to basketCondition: New. KlappentextrnrnLink prediction is required to understand the evolutionary theory of computing for different social networks. However, the stochastic growth of the social network leads to various challenges in identifying hidden links, such as re.
Published by Information Science Reference, 2019
ISBN 10: 152259096X ISBN 13: 9781522590965
Language: English
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Add to basketHardcover. Condition: Brand New. 281 pages. 10.00x7.00x0.83 inches. In Stock.
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Information Science Reference, 2019
ISBN 10: 1522590994 ISBN 13: 9781522590996
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on the foremost techniques of hidden link predictions in stochastic social networks, including methods and approaches that involve similarity index techniques, matrix factorization, reinforcement, models, and graph representations and community dete.
Published by Information Science Reference, 2019
ISBN 10: 1522590994 ISBN 13: 9781522590996
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Premier reference source'-- book cover.
Published by Information Science Reference, 2019
ISBN 10: 152259096X ISBN 13: 9781522590965
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Link prediction is required to understand the evolutionary theory of computing for different social networks. However, the stochastic growth of the social network leads to various challenges in identifying hidden links, such as representation of graph, distinction between spurious and missing links, selection of link prediction techniques comprised of network features, and identification of network types. Hidden Link Prediction in Stochastic Social Networks concentrates on the foremost techniques of hidden link predictions in stochastic social networks including methods and approaches that involve similarity index techniques, matrix factorization, reinforcement, models, and graph representations and community detections. The book also includes miscellaneous methods of different modalities in deep learning, agent-driven AI techniques, and automata-driven systems and will improve the understanding and development of automated machine learning systems for supervised, unsupervised, and recommendation-driven learning systems. It is intended for use by data scientists, technology developers, professionals, students, and researchers.