Probabilistic Approaches to Recommendations, Nicola Barbieri, Giuseppe Manco, Ettore Ritacco

Название: Conformal and probabilistic prediction with applications
ISBN: 3319333941 ISBN-13(EAN): 9783319333946
Издательство: Springer
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Цена: 46590.00 T
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Theory of conformal prediction.- Applications of conformal prediction.- Machine learning.

Автор: Christian Servin; Vladik Kreinovich
Название: Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion
ISBN: 3319385879 ISBN-13(EAN): 9783319385877
Издательство: Springer
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Цена: 87060.00 T
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Описание: On various examples ranging from geosciences to environmental sciences, thisbook explains how to generate an adequate description of uncertainty, how to justifysemiheuristic algorithms for processing uncertainty, and how to make these algorithmsmore computationally efficient.

Автор: Moonis Ali; Young Sig Kwon; Chang-Hwan Lee; Juntae
Название: Current Approaches in Applied Artificial Intelligence
ISBN: 3319190652 ISBN-13(EAN): 9783319190655
Издательство: Springer
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Цена: 81990.00 T
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Описание: This book constitutes the refereed conference proceedings of the 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, held in Seoul, South Korea, in June 2015.

Автор: V.S. Subrahmanian
Название: Handbook of Computational Approaches to Counterterrorism
ISBN: 1489987665 ISBN-13(EAN): 9781489987662
Издательство: Springer
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Цена: 121110.00 T
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Описание: Data and Data Acquisition.- Behavioral Models and Forecasting.- Terrorist Network Analysis.- Systems, Frameworks, and Case Studies.- New Directions.

Автор: Pompeu Casanovas; Ugo Pagallo; Monica Palmirani; G
Название: AI Approaches to the Complexity of Legal Systems
ISBN: 3662459590 ISBN-13(EAN): 9783662459591
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Цена: 52170.00 T
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Описание: This book constitutes revised selected papers from the two International Workshops on Artificial Intelligence Approaches to the Complexity of Legal Systems, AICOL IV and AICOL V, held in 2013. the second was held in Bologna as a joint special workshop of JURIX 2013 on December 11, 2013.

Автор: Misako Takayasu; Tsutomu Watanabe; Hideki Takayasu
Название: Econophysics Approaches to Large-Scale Business Data and Financial Crisis
ISBN: 4431546715 ISBN-13(EAN): 9784431546719
Издательство: Springer
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Цена: 156720.00 T
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Описание: In recent years, as part of the increasing "informationization" of industry and the economy, enterprises have been accumulating vast amounts of detailed data such as high-frequency transaction data in nancial markets and point-of-sale information onindividualitems in theretail sector.

Автор: Ming Chen; Ralf Hofest?dt
Название: Approaches in Integrative Bioinformatics
ISBN: 3662524031 ISBN-13(EAN): 9783662524039
Издательство: Springer
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Цена: 88500.00 T
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Описание: Approaches in Integrative Bioinformatics provides a basic introduction to biological information systems, as well as guidance for the computational analysis of systems biology.

Автор: Valliappa Lakshmanan; Eric Gilleland; Amy McGovern
Название: Machine Learning and Data Mining Approaches to Climate Science
ISBN: 3319172190 ISBN-13(EAN): 9783319172194
Издательство: Springer
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Цена: 174150.00 T
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Описание: This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed.

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations and Novel Approaches in Data Mining
ISBN: 3540283153 ISBN-13(EAN): 9783540283157
Издательство: Springer
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Цена: 204040.00 T
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Описание: Presents a theoretical foundation of data-mining and provides important directions for data-mining research.

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations and Novel Approaches in Data Mining
ISBN: 364206650X ISBN-13(EAN): 9783642066504
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Цена: 204040.00 T
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Описание: Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research.