Self-Improving Teaching Systems, O`SHEA

Автор: Godfrey C Onwubolu
Название: Hybrid Self-Organizing Modeling Systems
ISBN: 3642015298 ISBN-13(EAN): 9783642015298
Издательство: Springer
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Цена: 174150.00 T
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Описание: The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book presents hybrids of some computational intelligence techniques and GMDH approach. It includes the description of GAME (Group Adaptive Models Evolution) algorithm.

Автор: Godfrey C Onwubolu
Название: Hybrid Self-Organizing Modeling Systems
ISBN: 3642101828 ISBN-13(EAN): 9783642101823
Издательство: Springer
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Цена: 156720.00 T
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Описание: The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book clearly presents hybrids of some computational intelligence techniques and GMDH approach.

Автор: Reif
Название: Trustworthy Open Self-Organising Systems
ISBN: 3319291998 ISBN-13(EAN): 9783319291994
Издательство: Springer
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Цена: 88500.00 T
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Описание: This booktreats the computational use of social concepts as the focal point for therealisation of a novel class of socio-technical systems, comprising smartgrids, public display environments, and grid computing.Thesesystems are composed of technical and human constituents that interact witheach other in an open environment. Heterogeneity, large scale, and uncertaintyin the behaviour of the constituents and the environment are the rule ratherthan the exception.Ensuringthe trustworthiness of such systems allows their technical constituents tointeract with each other in a reliable, secure, and predictable way while theirhuman users are able to understand and control them. 'TrustworthyOpen Self-Organising Systems' contains a wealth of knowledge, fromtrustworthy self-organisation mechanisms, to trust models, methods to measure auser's trust in a system, a discussion of social concepts beyond trust, andinsights into the impact open self-organising systems will have on society.

Автор: Johannes F. Knabe
Название: Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems
ISBN: 3642448054 ISBN-13(EAN): 9783642448058
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book examines the evolvability and robustness of an evolutionary GRN paradigm, in simple differentiated multicellularity and in evolving artificial `organisms` which grow and express an ontogeny from a single cell to a changing neighborhood of cells.

Автор: Thrasyvoulos Spyropoulos; Karin Anna Hummel
Название: Self-Organizing Systems
ISBN: 3642108644 ISBN-13(EAN): 9783642108648
Издательство: Springer
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Цена: 65170.00 T
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Описание: This book constitutes the refereed proceedings of the 4th International Workshop on Self-Organizing Systems, IWSOS 2009, held in Zurich, Switzerland, in December 2009. The 14 revised full papers and 13 revised short papers presented were carefully selected from the 34 full and 27 short paper submissions.

Автор: Mikhail Prokopenko
Название: Advances in Applied Self-Organizing Systems
ISBN: 1447151127 ISBN-13(EAN): 9781447151128
Издательство: Springer
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Цена: 93160.00 T
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Описание: This volume demonstrates the practical relevance and applicability of self-organization. It includes case studies that examine applications of self-organization, identify causes for their successes, and propose guiding principles for future developments.

Автор: Sven A. Brueckner; Giovanni Di Marzo Serugendo; Da
Название: Engineering Self-Organising Systems
ISBN: 3540333428 ISBN-13(EAN): 9783540333425
Издательство: Springer
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Цена: 65210.00 T
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Описание: This book constitutes the refereed post-proceedings of the Third International Workshop on Engineering Self-Organising Applications, ESOA 2005, held in July 2005 as an associated event of AAMAS 2005.

Автор: Lagkas, Sarigiannidis, Louta & C
Название: Evolution Of Cognitive Networks And Self-Adaptive Communication Systems
ISBN: 1466641894 ISBN-13(EAN): 9781466641891
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: <em>Evolution of Cognitive Networks and Self-Adaptive Communication Systems</em> overviews innovative technologies combined for the formation of self-aware, self-adaptive, and self-organising networks. By aiming to inform the research community and the related industry of solutions for cognitive networks, this book is essential for researchers, instructors, and professionals interested in clarifying the latest trends towards a unified realisation for cognitive networking and communication systems.

Автор: Lewis
Название: Self-aware Computing Systems
ISBN: 3319396749 ISBN-13(EAN): 9783319396743
Издательство: Springer
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Цена: 102480.00 T
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Описание: Taking inspiration from self-awareness in humans, this book introduces the new notion of computational self-awareness as a fundamental concept for designing and operating computing systems. The basic ability of such self-aware computing systems is to collect information about their state and progress, learning and maintaining models containing knowledge that enables them to reason about their behaviour. Self-aware computing systems will have the ability to utilise this knowledge to effectively and autonomously adapt and explain their behaviour, in changing conditions.This book addresses these fundamental concepts from an engineering perspective, aiming at developing primitives for building systems and applications. It will be of value to researchers, professionals and graduate students in computer science and engineering.

Автор: Mikhail Prokopenko
Название: Advances in Applied Self-Organizing Systems
ISBN: 1447158997 ISBN-13(EAN): 9781447158998
Издательство: Springer
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Цена: 121110.00 T
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Описание: This volume demonstrates the practical relevance and applicability of self-organization. It includes case studies that examine applications of self-organization, identify causes for their successes, and propose guiding principles for future developments.

Автор: Ricci, Francesco, Rokach, Lior, Shapira, Bracha
Название: Recommender Systems Handbook
ISBN: 1489976361 ISBN-13(EAN): 9781489976369
Издательство: Springer
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Цена: 232910.00 T
Наличие на складе: Невозможна поставка.
Описание: This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems' major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems.

This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems.

Автор: Horia-Nicolai Teodorescu; Alan Kirschenbaum; Svetl
Название: Improving Disaster Resilience and Mitigation - IT Means and Tools
ISBN: 940179135X ISBN-13(EAN): 9789401791359
Издательство: Springer
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Цена: 158380.00 T
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Описание:

Part I: Fundamentals and Modeling.- Survey of IC&T in disaster mitigation and disaster situation management; H.-N. L. Teodorescu.- Organizations under siege: innovative adaptive behaviors in work organizations; A.Kirschenbaum, C. Rapaport.- Risk perception and communication; F. Bouder.- Establishing social resilience with (public-private partnership)-based BCM (Business Continuity Management); K. Watanabe.- A model for the spatio-temporal distribution of population using country-wide statistical data and its application to the estimation of human exposure to disasters; K. Himoto, J. Kimata.- From noise to knowledge: smart city-responses to disruption; J. Noennig, P. Schmiedgen.- Challenges of image-based crowd-sourcing for situation awareness in disaster management; G. Moreau et al.-Foresight and forecast for prevention, mitigation and recovering after social, technical and environmental disasters; N.D. Pankratova et al.- Disaster early warning and relief: a human-centered approach; E. Damiani et al.- Expert systems for assessing disaster impact on the environment; M. Biliaiev et al.- Fuzzy logic and data mining in disaster mitigation; A. Kandel et al.- Decision support to build in landslide prone areas; I. Lungu et al.- Part II: Tools and Applications.- Mitigation using emergent technologies; L.J.M. Rothkrantz.- Geographic information for disaster management - An overview; W. Reinhardt.- The potential of cloud computing for analysis and finding solutions; M. Craus, C. Butincu.- How to improve the reactiveness and efficiency of embedded multi-core systems by use of probabilistic simulation and optimization techniques; J. Mottok et al.-Design of safe systems; P. Hlousek, I. Konecny.- Emergency-SonaRes: a system for ultrasound diagnostics support in extreme cases; C. Gaindric et al.- A decision support system for forest fire containment; A.Guasch et al.- Vulnerability analysis and GIS based seismic risk assessment Georgia case; N. Tsereteli et al.- Sensors for environmental control based on chaotic systems; V. Cojocaru.- Wearable, assistive system for monitoring people in critical Environments; L.A. Amarandei, M.G. Hagan.