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Sinopsis
This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk algorithms, which are used for modeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications.
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This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk algorithms, which are used for modeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications.
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Intelligent Random Walk: An Approach Based on Learning Automata (SpringerBriefs in Applied Sciences and Technology)
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Intelligent Random Walk: An Approach Based on Learning Automata
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Springer International Publishing Jan 2019, 2019
ISBN 10: 3030108821
ISBN 13: 9783030108823
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk algorithms, which are used for modeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications. 68 pp. Englisch. Nº de ref. del artículo: 9783030108823
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Intelligent Random Walk: An Approach Based on Learning Automata
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Springer International Publishing, Springer International Publishing Jan 2019, 2019
ISBN 10: 3030108821
ISBN 13: 9783030108823
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. Neuware - This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk algorithms, which are used for modeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications. Nº de ref. del artículo: 9783030108823
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Intelligent Random Walk: An Approach Based on Learning Automata
Publicado por
Springer International Publishing, 2019
ISBN 10: 3030108821
ISBN 13: 9783030108823
Nuevo
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes t. Nº de ref. del artículo: 257580537
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Intelligent Random Walk: An Approach Based on Learning Automata (SpringerBriefs in Applied Sciences and Technology)
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Intelligent Random Walk: An Approach Based on Learning Automata
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Intelligent Random Walk: An Approach Based on Learning Automata (SpringerBriefs in Applied Sciences and Technology)
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Intelligent Random Walk: An Approach Based on Learning Automata
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Springer-Verlag New York Inc, 2019
ISBN 10: 3030108821
ISBN 13: 9783030108823
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Intelligent Random Walk: An Approach Based on Learning Automata (SpringerBriefs in Applied Sciences and Technology)
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
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Condición: New. Print on Demand pp. 55. Nº de ref. del artículo: 370747673
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Intelligent Random Walk: An Approach Based on Learning Automata
Publicado por
Springer International Publishing, Springer International Publishing Jan 2019, 2019
ISBN 10: 3030108821
ISBN 13: 9783030108823
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk algorithms, which are used for modeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 68 pp. Englisch. Nº de ref. del artículo: 9783030108823
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