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Neuware - This Element provides an overview of the ideas, methods and techniques to deal with the problem of missing information in complex networks datasets. Codice articolo 9781108726818
This Element provides an overview of the ideas, methods and techniques to deal with complex networks datasets.
Titolo: Reconstructing Networks
Casa editrice: Cambridge University Press Sep 2021
Data di pubblicazione: 2021
Legatura: Taschenbuch
Condizione: Neu
Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 75 pages. 9.02x5.98x0.24 inches. In Stock. This item is printed on demand. Codice articolo __110872681X
Quantità: 1 disponibili
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New. Codice articolo ABLIING23Mar2317530286926
Quantità: Più di 20 disponibili
Da: Chiron Media, Wallingford, Regno Unito
Paperback. Condizione: New. Codice articolo 6666-IUK-9781108726818
Quantità: 10 disponibili
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 171. Codice articolo C9781108726818
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Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9781108726818_new
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Da: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condizione: new. Paperback. Complex networks datasets often come with the problem of missing information: interactions data that have not been measured or discovered, may be affected by errors, or are simply hidden because of privacy issues. This Element provides an overview of the ideas, methods and techniques to deal with this problem and that together define the field of network reconstruction. Given the extent of the subject, the authors focus on the inference methods rooted in statistical physics and information theory. The discussion is organized according to the different scales of the reconstruction task, that is, whether the goal is to reconstruct the macroscopic structure of the network, to infer its mesoscale properties, or to predict the individual microscopic connections. This Element provides an overview of the ideas, methods and techniques to deal with the problem of missing information in complex networks datasets. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781108726818
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Da: moluna, Greven, Germania
Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This Element provides an overview of the ideas, methods and techniques to deal with the problem of missing information in complex networks datasets.Inhaltsverzeichnis1. Introduction 2. Network reconstruction at the macroscale 3. Ne. Codice articolo 497431935
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Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. Complex networks datasets often come with the problem of missing information: interactions data that have not been measured or discovered, may be affected by errors, or are simply hidden because of privacy issues. This Element provides an overview of the ideas, methods and techniques to deal with this problem and that together define the field of network reconstruction. Given the extent of the subject, the authors focus on the inference methods rooted in statistical physics and information theory. The discussion is organized according to the different scales of the reconstruction task, that is, whether the goal is to reconstruct the macroscopic structure of the network, to infer its mesoscale properties, or to predict the individual microscopic connections. This Element provides an overview of the ideas, methods and techniques to deal with the problem of missing information in complex networks datasets. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781108726818
Quantità: 1 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand. Codice articolo 393897483
Quantità: 4 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP. Codice articolo 26386783700
Quantità: 4 disponibili