Software Engineering and Methodology for Emerging Domains, Zheng Li; He Jiang; Ge Li; Minghui Zhou; Ming Li

Автор: Amadio
Название: Domains and Lambda-Calculi
ISBN: 0521062926 ISBN-13(EAN): 9780521062923
Издательство: Cambridge Academ
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Цена: 59130.00 T
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Описание: This book describes the mathematical aspects of the semantics of programming languages. The main goals are to provide formal tools to assess the meaning of programming constructs in ways independent of both language and platform. To do this the authors explain denotational and operational semantics and exploit the duality between them.

Автор: Klaus Keimel; Guo-Qiang Zhang; Ying Ming Liu; Yixi
Название: Domains and Processes
ISBN: 0792371437 ISBN-13(EAN): 9780792371434
Издательство: Springer
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Цена: 144370.00 T
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Описание: Domain theory is an interdisciplinary area at the intersection of logic, computer science, and mathematics. This volume contains selected papers presented at the International Symposium on Domain Theory which took place in Shanghai in October 1999. It is suitable for researchers and students interested in this area of theoretical computer science.

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: 130430.00 T
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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.

Автор: Todd Hester
Название: TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains
ISBN: 3319375105 ISBN-13(EAN): 9783319375106
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. It presents a novel model-based reinforcement learning algorithm.

Автор: Alfio Gliozzo; Carlo Strapparava
Название: Semantic Domains in Computational Linguistics
ISBN: 3642425860 ISBN-13(EAN): 9783642425868
Издательство: Springer
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Цена: 111790.00 T
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Описание: An ideal text for researchers and graduate students, this comprehensive volume covers semantic domains and domain models, as well as ways of applying the technique to text categorization, word sense disambiguation, and cross-language text categorization.

Автор: Yannis Manolopoulos; Sergey Stupnikov
Название: Data Analytics and Management in Data Intensive Domains
ISBN: 3030235831 ISBN-13(EAN): 9783030235833
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book constitutes the refereed proceedings of the 20th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2018, held in Moscow, Russia, in October 2018.The 9 revised full papers presented together with three invited papers were carefully reviewed and selected from 54 submissions. The papers are organized in the following topical sections: FAIR data infrastructures, interoperability and reuse; knowledge representation; data models; data analysis in astronomy; text search and processing; distributed computing; information extraction from text.

Автор: Amadio
Название: Domains and Lambda-Calculi
ISBN: 0521622778 ISBN-13(EAN): 9780521622776
Издательство: Cambridge Academ
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Цена: 142560.00 T
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Описание: This book describes the mathematical aspects of the semantics of programming languages. The main goals are to provide formal tools to assess the meaning of programming constructs in ways independent of both language and platform. To do this the authors explain denotational and operational semantics and exploit the duality between them.

Автор: Thomas L. Geers
Название: IUTAM Symposium on Computational Methods for Unbounded Domains
ISBN: 9048151066 ISBN-13(EAN): 9789048151066
Издательство: Springer
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Цена: 204040.00 T
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Описание: Proceedings of the IUTAM Symposium held in Boulder, Colorado, USA, 27-31 July 1997

Автор: Harald Sack; Eva Blomqvist; Mathieu d`Aquin; Chiar
Название: The Semantic Web. Latest Advances and New Domains
ISBN: 3319341286 ISBN-13(EAN): 9783319341286
Издательство: Springer
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Цена: 89440.00 T
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Описание: The 47 revised full papers presented together with three invited talks were carefully reviewed and selected from 204 submissions. In addition, the PhD Symposium program included 10 contributions, selected out of 21 submissions. The core tracks of the research conference were complemented with new tracks focusing on linked data;

Автор: Klaus Keimel; Guo-Qiang Zhang; Ying Ming Liu; Yixi
Название: Domains and Processes
ISBN: 9401038597 ISBN-13(EAN): 9789401038591
Издательство: Springer
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Цена: 93160.00 T
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Описание: Proceedings of the 1st International Symposium on Domain Theory

Автор: Matthew Taylor
Название: Transfer in Reinforcement Learning Domains
ISBN: 3642018815 ISBN-13(EAN): 9783642018817
Издательство: Springer
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Цена: 158380.00 T
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Описание: Reinforcement Learning Background.- Related Work.- Empirical Domains.- Value Function Transfer via Inter-Task Mappings.- Extending Transfer via Inter-Task Mappings.- Transfer between Different Reinforcement Learning Methods.- Learning Inter-Task Mappings.- Conclusion and Future Work.

Автор: Matthew Taylor
Название: Transfer in Reinforcement Learning Domains
ISBN: 3642101860 ISBN-13(EAN): 9783642101861
Издательство: Springer
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Цена: 158380.00 T
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Описание: In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. This book provides an introduction to the RL transfer problem and discusses methods which demonstrate the promise of this exciting area of research.