Information and the Internal Structure of the Universe, Tom Stonier

Автор: David J. C. MacKay
Название: Information Theory, Inference and Learning Algorithms
ISBN: 0521642981 ISBN-13(EAN): 9780521642989
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: This exciting and entertaining textbook is ideal for courses in information, communication and coding. It is an unparalleled entry point to these subjects for professionals working in areas as diverse as computational biology, data mining, financial engineering and machine learning.

Автор: Ku?erov?
Название: Contrasts and Positions in Information Structure
ISBN: 1107595762 ISBN-13(EAN): 9781107595767
Издательство: Cambridge Academ
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Цена: 6019.00 р.
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Описание: This volume brings together exciting work on the relationship between syntax and information structure. It is aimed at specialists in information structure, as well as students and linguists in related fields who want to familiarise themselves with current issues in this fascinating area of research.

Автор: Stephane P. Demri; Ewa Orlowska
Название: Incomplete Information: Structure, Inference, Complexity
ISBN: 3642075401 ISBN-13(EAN): 9783642075407
Издательство: Springer
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Цена: 20123.00 р.
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Описание: This monograph presents a systematic, exhaustive and up-to-date overview of formal methods and theories for data analysis and inference inspired by the concept of rough set. The formalisms developed are non-invasive in that only the actual information that is needed in the process of analysis without external sources of information being required.

Автор: Kasper, Dennis L. Fauci, Anthony S. Hauser, Stephen L. Longo, Dan L. Jameson, J. Larry Loscalzo, Joseph
Название: Harrison`s Principles of Internal Medicine 19/E 2 Vols set.
ISBN: 0071802150 ISBN-13(EAN): 9780071802154
Издательство: McGraw-Hill
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Цена: 22523.00 р.
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Описание: The landmark text that has defined internal medicine for generations of clinicians and students - completely updated with a more streamlined, functional presentation.

Автор: P. K. McBride
Название: Career Award Information and Communication Technology: Foundation Level
ISBN: 0521532930 ISBN-13(EAN): 9780521532938
Издательство: Cambridge Academ
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Цена: 2020.00 р.
Наличие на складе: Поставка под заказ.

Описание: Career Award in Information and Communication Technology: Foundation Level accompanies the Cambridge International Examinations (CIE) syllabus for the Career Award in Information and Communication Technology at Foundation Level. It closely matches the content of the syllabus, and has been endorsed by CIE for use with its examination. The author,an information technology specialist, writes in a lively, accessible style and uses a step-by-step approach to introduce students to the basic concepts and skills required.

Автор: Mark Talabis
Название: Information Security Risk Assessment Toolkit,
ISBN: 1597497355 ISBN-13(EAN): 9781597497350
Издательство: Elsevier Science
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Цена: 6736.00 р.
Наличие на складе: Нет в наличии.

Описание: Provides a defendable analysis of residual risk associated with your key assets so that risk treatment options can be explored. This title gives you the tools and skills to get a thorough risk assessment for key stakeholders. It focuses on implementing a process, rather than theory, that allows you to derive a quick and valuable assessment.

Автор: Dalrymple
Название: Objects and Information Structure
ISBN: 1107627370 ISBN-13(EAN): 9781107627376
Издательство: Cambridge Academ
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Цена: 5069.00 р.
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Описание: In many languages, the objects of transitive verbs are either marked by grammatical case or agreement on the verb, or they remain unmarked. This book is a cross-linguistic study of how object marking is affected by information structure, the grammatical structuring of the utterance in accordance with context.

Автор: Eidsvik
Название: Value of Information in the Earth Sciences
ISBN: 1107040264 ISBN-13(EAN): 9781107040267
Издательство: Cambridge Academ
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Цена: 20592.00 р.
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Описание: This book presents a unified framework for assessing the value of potential data gathering schemes by integrating spatial modelling and decision analysis, with a focus on the Earth sciences. Real datasets and MATLAB codes are provided online, making this an invaluable reference for students, researchers, and industry professionals.