New Learning Paradigms in Soft Computing, Lakhmi C. Jain; Janusz Kacprzyk

Автор: Peter Norvig
Название: Paradigms of Artificial Intelligence Programming,
ISBN: 1558601910 ISBN-13(EAN): 9781558601918
Издательство: Elsevier Science
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Цена: 63990.00 T
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Описание: Paradigms of AI Programming teaches advanced Common Lisp techniques in the context of building major AI systems.

Автор: Mika Sato-Ilic; Maria Virvou; George A Tsihrintzis
Название: Computational Intelligence Paradigms
ISBN: 3642098398 ISBN-13(EAN): 9783642098390
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book features research on the innovative applications of advanced computational intelligence paradigms. Coverage includes architectures of computational intelligence paradigms, knowledge discovery, pattern classification, and gene linkage analysis.

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: 121890.00 T
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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: 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: 153720.00 T
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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: 104480.00 T
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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: Ajith Abraham
Название: Recent Advances in Intelligent Paradigms and Applications
ISBN: 3790825212 ISBN-13(EAN): 9783790825213
Издательство: Springer
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Цена: 130430.00 T
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Описание: Digital systems that bring together the computing capacity for processing large bodies of information with the human cognitive capability are called intelligent systems.

Автор: Norio Baba; Hisashi Handa
Название: Advanced Intelligent Paradigms in Computer Games
ISBN: 3642091792 ISBN-13(EAN): 9783642091797
Издательство: Springer
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Цена: 130590.00 T
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Описание: This book explores all the latest research in the area of advanced intelligent paradigms in computer games. It presents a sample of the most recent research concerning the application of computational intelligence techniques and internet technology in computer games. computational intelligence in racing games;

Автор: Lakhmi C. Jain; Janusz Kacprzyk
Название: New Learning Paradigms in Soft Computing
ISBN: 3790814369 ISBN-13(EAN): 9783790814361
Издательство: Springer
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Цена: 153720.00 T
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Описание: The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets and evolutionary computations.

Автор: Srikanta Patnaik; Piyu Tripathy; Sagar Naik
Название: New Paradigms in Internet Computing
ISBN: 3642354602 ISBN-13(EAN): 9783642354601
Издательство: Springer
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Цена: 83850.00 T
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Описание: This book examines leading research and developments in Internet technology, including contributions from academic researchers as well as industry experts discussing new paradigms in Software, Protocols, Supply Chain Management, Security and Cloud Computing.

Автор: Silvia Serino; Aleksandar Matic; Dimitris Giakoumi
Название: Pervasive Computing Paradigms for Mental Health
ISBN: 3319322699 ISBN-13(EAN): 9783319322698
Издательство: Springer
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Цена: 54040.00 T
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Описание: This book constitutes the refereed proceedings of the 5th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2015, held in Milan, Italy, in September 2015.The 23 full papers and 6 short papers presented were carefully reviewed and selected from 40 submissions.

Автор: Aristomenis S. Lampropoulos; George A. Tsihrintzis
Название: Machine Learning Paradigms
ISBN: 3319384961 ISBN-13(EAN): 9783319384962
Издательство: Springer
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Цена: 87060.00 T
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Описание: This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes.

Автор: Dionisios N. Sotiropoulos; George A. Tsihrintzis
Название: Machine Learning Paradigms
ISBN: 3319471929 ISBN-13(EAN): 9783319471921
Издательство: Springer
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Цена: 139750.00 T
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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.