E-Learning Paradigms and Applications, Mirjana Ivanovi?; Lakhmi C. Jain

Автор: Peter Norvig
Название: Paradigms of Artificial Intelligence Programming,
ISBN: 1558601910 ISBN-13(EAN): 9781558601918
Издательство: Elsevier Science
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Цена: 9599.00 р.
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Описание: Paradigms of AI Programming teaches advanced Common Lisp techniques in the context of building major AI systems.

Автор: Nikhil Ichalkaranje; Ajita Ichalkaranje
Название: Intelligent Paradigms for Assistive and Preventive Healthcare
ISBN: 3642068626 ISBN-13(EAN): 9783642068621
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Intelligent paradigms play a tremendous role in the field of Assistive and Preventive Healthcare (APH). This book presents some of the latest research in the field of APH by most prestigious researchers. Coverage includes Multimedia medical informatics; Electronic Locomotion Aids, and Multimedia Communication Systems for the Blind;

Автор: Margarita Sordo; Sachin Vaidya
Название: Advanced Computational Intelligence Paradigms in Healthcare - 3
ISBN: 3642096441 ISBN-13(EAN): 9783642096440
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This volume details the latest state-of-the-art research on computational intelligence paradigms in healthcare in the intelligent agent environment. The book presents seven chapters selected from the rapidly growing application areas of computational intelligence to healthcare systems.

Автор: Sheryl Brahnam; Lakhmi C. Jain
Название: Advanced Computational Intelligence Paradigms in Healthcare 6
ISBN: 3642446248 ISBN-13(EAN): 9783642446245
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Covering a plethora of aspects of this developing field, this book explores the latest applications of virtual reality to psychotherapy, rehabilitation and neurological assessment. It ranges from VR`s use in conditions from PTSD to amblyopia in children.

Автор: Dawn E. Holmes; Lakhmi C. Jain
Название: Data Mining: Foundations and Intelligent Paradigms
ISBN: 3642430937 ISBN-13(EAN): 9783642430930
Издательство: Springer
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Цена: 23508.00 р.
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Описание: However, in compiling a volume titled "DATA MINING: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification" we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.

Автор: Dawn E. Holmes; Lakhmi C. Jain
Название: Data Mining: Foundations and Intelligent Paradigms
ISBN: 3642434290 ISBN-13(EAN): 9783642434297
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Data mining is a rapidly growing research area in computer science and statistics. Volume 2 of this three-volume series covers theoretical aspects of the subject, including statistical, Bayesian, time-series and others relevant to health informatics.

Автор: Dawn E. Holmes; Lakhmi C. Jain
Название: Data Mining: Foundations and Intelligent Paradigms
ISBN: 3642435467 ISBN-13(EAN): 9783642435461
Издательство: Springer
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Цена: 29209.00 р.
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Описание: This volume, which includes the latest research on data mining and its applications to financial modeling, presents its material in an easy-to-consult handbook style and is aimed at a broad audience that includes both specialists and non-specialists alike.

Автор: Monica Bianchini; Marco Maggini; Franco Scarselli
Название: Innovations in Neural Information Paradigms and Applications
ISBN: 3642040020 ISBN-13(EAN): 9783642040023
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Presenting the fundamentals and practical applications of neural information systems, this volume presents the recent developments in the field. Self-organizing structures, neural grammar networks and model complexity are among the many topics discussed.

Автор: Jeffrey W. Tweedale; Lakhmi C. Jain
Название: Recent Advances in Knowledge-based Paradigms and Applications
ISBN: 3319016482 ISBN-13(EAN): 9783319016481
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book presents carefully selected contributions devoted to the modern perspective of AI research and innovation. The theme across all chapters combines several domains of AI research, Computational Intelligence and Machine Intelligence including an introduction to the recent research and models.

Автор: Dionisios N. Sotiropoulos; George A. Tsihrintzis
Название: Machine Learning Paradigms
ISBN: 3319471929 ISBN-13(EAN): 9783319471921
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The topic of this monograph falls within the, so-called, biologically motivated computing paradigm, in which biology provides the source of models and inspiration towards the development of computational intelligence and machine learning systems. Specifically, artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions that lay the foundations for an alternative machine learning paradigm. Therefore, focus is given on addressing the primary problems of Pattern Recognition by developing Artificial Immune System-based machine learning algorithms for the problems of Clustering, Classification and One-Class Classification. Pattern Classification, in particular, is studied within the context of the Class Imbalance Problem. The main source of inspiration stems from the fact that the Adaptive Immune System constitutes one of the most sophisticated biological systems that is exceptionally evolved in order to continuously address an extremely unbalanced pattern classification problem, namely, the self / non-self discrimination process. The experimental results presented in this monograph involve a wide range of degenerate binary classification problems where the minority class of interest is to be recognized against the vast volume of the majority class of negative patterns. In this context, Artificial Immune Systems are utilized for the development of personalized software as the core mechanism behind the implementation of Recommender Systems.The book will be useful to researchers, practitioners and graduate students dealing with Pattern Recognition and Machine Learning and their applications in Personalized Software and Recommender Systems. It is intended for both the expert/researcher in these fields, as well as for the general reader in the field of Computational Intelligence and, more generally, Computer Science who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.