Quantified Representation of Uncertainty and Imprecision, Dov M. Gabbay; Philippe Smets
Автор: Dov M. Gabbay; Philippe Smets Название: Quantified Representation of Uncertainty and Imprecision ISBN: 0792351002 ISBN-13(EAN): 9780792351009 Издательство: Springer Рейтинг: Цена: 41647.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Handbook was produced in the style of previous handbook series like the Handbook of Philosoph- ical Logic, the Handbook of Logic in Computer Science, the Handbook of Logic in Artificial Intelligence and Logic Programming, and can be seen as a companion to them in covering the wide applications of logic and reasoning.
Описание: The book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets.
Автор: Mark Hoogendoorn; Burkhardt Funk Название: Machine Learning for the Quantified Self ISBN: 3319663070 ISBN-13(EAN): 9783319663074 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider audience. Discussing concepts drawn from from state-of-the-art scientific literature, it illustrates the approaches using a case study of a rich self-tracking data set. Self-tracking has become part of the modern lifestyle, and the amount of data generated by these devices is so overwhelming that it is difficult to obtain useful insights from it. Luckily, in the domain of artificial intelligence there are techniques that can help out: machine-learning approaches allow this type of data to be analyzed. While there are ample books that explain machine-learning techniques, self-tracking data comes with its own difficulties that require dedicated techniques such as learning over time and across users.
Автор: Gloria Bordogna; Giuseppe Psaila Название: Flexible Databases Supporting Imprecision and Uncertainty ISBN: 3642421652 ISBN-13(EAN): 9783642421655 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume offers the advice of selected expert contributors on the application of heterogeneous methods for managing uncertainty and imprecision in databases. It contains both survey chapters on classic topics such as "flexible querying in databases", and up to date information on "database models to represent imperfect data".
Описание: In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. , n, in which X and Yare real-valued variables and Ai and Bi are fuzzy numbers exemplified by small, large, not very small, close to 5, etc.
Описание: and the Fifteenth International Workshop on Intuitionistic Fuzzy Sets and General Nets, IWIFSGN-2016, one of the foremost conferences on fuzzy logic, notably addressing extensions of the traditional fuzzy sets, as well as the Generalized Nets (GNs), a powerful extension of the traditional Petri net paradigm.
Автор: Maciej Wygralak Название: Intelligent Counting Under Information Imprecision ISBN: 364243990X ISBN-13(EAN): 9783642439902 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents methods of intelligent counting that are human-consistent, are reflections and formalizations of real, human counting procedures. The text is self-contained, systematic and equipped with many examples, figures and tables.
Автор: Wygralak Maciej Название: Intelligent Counting Under Information Imprecision ISBN: 3642346847 ISBN-13(EAN): 9783642346842 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents methods of intelligent counting that are human-consistent, are reflections and formalizations of real, human counting procedures. The text is self-contained, systematic and equipped with many examples, figures and tables.
Автор: Didier Dubois; Maria Asuncion Lubiano; Henri Prade Название: Soft Methods for Handling Variability and Imprecision ISBN: 3540850260 ISBN-13(EAN): 9783540850267 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. This work aims to present results illustrating such trends that enlarge the statistical and uncertainty modeling traditions, towards the handling of incomplete or subjective information.
Описание: Viewed from database technology, information modeling in databases can be identified at two levels: (conceptual) data modeling and (logical) database modeling. Generally a conceptual data model is designed and then the designed conceptual data model will be transformed into a chosen logical database schema.
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