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Challenging Problems and Solutions in Intelligent Systems, Tre Guy De, Grzegorzewski Przemyslaw, Kacprzyk Janusz


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Автор: Tre Guy De, Grzegorzewski Przemyslaw, Kacprzyk Janusz
Название:  Challenging Problems and Solutions in Intelligent Systems
ISBN: 9783319807362
Издательство: Springer
Классификация:
ISBN-10: 3319807366
Обложка/Формат: Paperback
Страницы: 347
Вес: 0.50 кг.
Дата издания: 25.04.2018
Серия: Studies in computational intelligence
Язык: English
Издание: Softcover reprint of
Иллюстрации: 51 illustrations, color; 15 illustrations, black and white; x, 347 p. 66 illus., 51 illus. in color.
Размер: 23.39 x 15.60 x 1.91 cm
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Foundations of Intelligent Computing.- Intelligent Techniques in Data Mining.- Multi-Agent Based Technologies.- Intelligent Computing in Decision Support Systems.- Intelligent Text and Data Retrieval: Towards a Better Representation of Users Intentions.




Challenging Problems and Solutions in Intelligent Systems

Автор: Guy de Tr?; Przemys?aw Grzegorzewski; Janusz Kacpr
Название: Challenging Problems and Solutions in Intelligent Systems
ISBN: 3319301640 ISBN-13(EAN): 9783319301648
Издательство: Springer
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Цена: 20896.00 р.
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Описание:

Foundations of Intelligent Computing.- Intelligent Techniques in Data Mining.- Multi-Agent Based Technologies.- Intelligent Computing in Decision Support Systems.- Intelligent Text and Data Retrieval: Towards a Better Representation of Users Intentions.

Probabilistic Reasoning in Intelligent Systems,

Автор: Judea Pearl
Название: Probabilistic Reasoning in Intelligent Systems,
ISBN: 1558604790 ISBN-13(EAN): 9781558604797
Издательство: Elsevier Science
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Цена: 9599.00 р.
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Описание:

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.

The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.


Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

Advanced topics in intelligent information and database systems.

Автор: Dariusz Kro?l
Название: Advanced topics in intelligent information and database systems.
ISBN: 3319566598 ISBN-13(EAN): 9783319566597
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents recent research in intelligent information and database systems. The carefully selected contributions were initially accepted for presentation as posters at the 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2017) held from to 5 April 2017 in Kanazawa, Japan. While the contributions are of an advanced scientific level, several are accessible for non-expert readers.

The book brings together 47 chapters divided into six main parts:* Part I. From Machine Learning to Data Mining.* Part II. Big Data and Collaborative Decision Support Systems,* Part III.

Computer Vision Analysis, Detection, Tracking and Recognition,* Part IV. Data-Intensive Text Processing,* Part V. Innovations in Web and Internet Technologies, and* Part VI.

New Methods and Applications in Information and Software Engineering. The book is an excellent resource for researchers and those working in algorithmics, artificial and computational intelligence, collaborative systems, decision management and support systems, natural language processing, image and text processing, Internet technologies, and information and software engineering, as well as for students interested in such research areas.

Intelligent and Fuzzy Techniques: Smart and Innovative Solutions: Proceedings of the Infus 2020 Conference, Istanbul, Turkey, July 21-23, 2020

Автор: Kahraman Cengiz, Cevik Onar Sezi, Oztaysi Basar
Название: Intelligent and Fuzzy Techniques: Smart and Innovative Solutions: Proceedings of the Infus 2020 Conference, Istanbul, Turkey, July 21-23, 2020
ISBN: 3030511553 ISBN-13(EAN): 9783030511555
Издательство: Springer
Цена: 27950.00 р.
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Описание: Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making;

Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces

Автор: Larbani
Название: Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces
ISBN: 9811019797 ISBN-13(EAN): 9789811019791
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book introduces a new paradigm called ‘Optimization in Changeable Spaces’ (OCS) as a useful tool for decision making and problem solving. It illustrates how OCS incorporates, searches, and constructively restructures the parameters, tangible and intangible, involved in the process of decision making. The book elaborates on OCS problems that can be modeled and solved effectively by using the concepts of competence set analysis, Habitual Domain (HD) and the mental operators called the 7-8-9 principles of deep knowledge of HD. In addition, new concepts of covering and discovering processes are proposed and formulated as mathematical tools to solve OCS problems. The book also includes reformulations of a number of illustrative real-life challenging problems that cannot be solved by traditional optimization techniques into OCS problems, and details how they can be addressed. Beyond that, it also includes perspectives related to innovation dynamics, management, artificial intelligence, artificial and e-economics, scientific discovery and knowledge extraction. This book will be of interest to managers of businesses and institutions, policy makers, and educators and students of decision making and behavior in DBA and/or MBA.

Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces: From Theoretical Framework to Applications

Автор: Larbani Moussa, Yu Po-Lung
Название: Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces: From Theoretical Framework to Applications
ISBN: 9811094942 ISBN-13(EAN): 9789811094941
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book introduces a new paradigm called `Optimization in Changeable Spaces` (OCS) as a useful tool for decision making and problem solving.

Innovative Approaches and Solutions in Advanced Intelligent Systems

Автор: Svetozar Margenov; Galia Angelova; Gennady Agre
Название: Innovative Approaches and Solutions in Advanced Intelligent Systems
ISBN: 3319322060 ISBN-13(EAN): 9783319322063
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This volume is a selected collection of papers presented and discussedat the International Conference "Advanced Computing for Innovation (AComIn 2015)".

Innovative Approaches and Solutions in Advanced Intelligent Systems

Автор: Margenov Svetozar, Angelova Galia, Agre Gennady
Название: Innovative Approaches and Solutions in Advanced Intelligent Systems
ISBN: 3319812238 ISBN-13(EAN): 9783319812236
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This volume is a selected collection of papers presented and discussedat the International Conference "Advanced Computing for Innovation (AComIn 2015)".

Intelligent Transportation Systems – Problems and Perspectives

Автор: Aleksander S?adkowski; Wies?aw Pamu?a
Название: Intelligent Transportation Systems – Problems and Perspectives
ISBN: 3319191497 ISBN-13(EAN): 9783319191492
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book presents a discussion of problems encountered in the deployment of Intelligent Transport Systems (ITS). These are freight transport, rail transport and aerospace transport encompassing also space stations.

Intelligent Transportation Systems – Problems and Perspectives

Автор: Aleksander S?adkowski; Wies?aw Pamu?a
Название: Intelligent Transportation Systems – Problems and Perspectives
ISBN: 3319370251 ISBN-13(EAN): 9783319370255
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book presents a discussion of problems encountered in the deployment of Intelligent Transport Systems (ITS). These are freight transport, rail transport and aerospace transport encompassing also space stations.

Intelligent Systems Technologies and Applications

Автор: Sabu M. Thampi; Sushmita Mitra; Jayanta Mukhopadhy
Название: Intelligent Systems Technologies and Applications
ISBN: 3319683845 ISBN-13(EAN): 9783319683843
Издательство: Springer
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Цена: 27950.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the third International Symposium on Intelligent Systems Technologies and Applications (ISTA`17), September 13-16, 2017, Manipal, Karnataka, India. This proceedings contains 34 papers selected for presentation at the Symposium.

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

Автор: Editors: Deo, R., Samui, P., Kisi, O., Zaher, Y.
Название: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
ISBN: 9811557713 ISBN-13(EAN): 9789811557712
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.


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