Advanced Methodologies for Bayesian Networks, Joe Suzuki; Maomi Ueno

Автор: Edwin Lughofer
Название: Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications
ISBN: 3642266924 ISBN-13(EAN): 9783642266928
Издательство: Springer
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Цена: 174130.00 T
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Описание: This book presents several evolving fuzzy systems approaches using real-world application scenarios to underline the usefulness and necessity of evolving fuzzy systems. The text also outlines potential new applications and raises open problems and new challenges.

Автор: Sirouspour
Название: Advanced Engineering And Computational Methodologies For Intelligent Mecha
ISBN: 1466636343 ISBN-13(EAN): 9781466636347
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: The emergence of mechatronics has advanced the engineering disciplines, producing a plethora of useful technical systems. <br><br><em>Advanced Engineering and Computational Methodologies for Intelligent Mechatronics and Robotics</em> presents the latest innovations and technologies in the fields of mechatronics and robotics. These innovations are applied to a wide range of applications for robotic-assisted manufacturing, complex systems, and many more. This publication is essential to bridge the gap between theory and practice for researchers, engineers, and practitioners from academia to government.

Автор: Gerasimos G. Rigatos
Название: Advanced Models of Neural Networks
ISBN: 3662437635 ISBN-13(EAN): 9783662437636
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by introducing advanced models of neural networks.

Автор: Dawn E. Holmes
Название: Innovations in Bayesian Networks
ISBN: 3642098754 ISBN-13(EAN): 9783642098758
Издательство: Springer
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Цена: 174130.00 T
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Описание: Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume the editors have brought together contributions from some of the most prestigious researchers in this field.

Автор: Jacek ?ak; Yuval Hadas; Riccardo Rossi
Название: Advanced Concepts, Methodologies and Technologies for Transportation and Logistics
ISBN: 3319571044 ISBN-13(EAN): 9783319571041
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book is a collection of original papers produced by the members of the Euro Working Group on Transportation (EWGT) in the last several years (2015-2017). It highlights a range of advanced concepts, methodologies and technologies, divided into four major thematic streams: Multiple Criteria Analysis in Transportation and Logistics;

Автор: Kjarulff, Uffe B. Madsen, Anders L.
Название: Bayesian networks and influence diagrams: a guide to construction and analysis
ISBN: 1461451035 ISBN-13(EAN): 9781461451037
Издательство: Springer
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Цена: 111790.00 T
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Описание: In a Second Edition offering six new sections, new examples, tables, figures and more, this book shows how to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Includes more than 140 examples.

Автор: Uffe B. Kj?rulff; Anders L. Madsen
Название: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
ISBN: 1493900293 ISBN-13(EAN): 9781493900299
Издательство: Springer
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Цена: 121110.00 T
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Описание: In a Second Edition offering six new sections, new examples, tables, figures and more, this book shows how to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Includes more than 140 examples.

Автор: Russell G. Almond; Robert J. Mislevy; Linda S. Ste
Название: Bayesian Networks in Educational Assessment
ISBN: 1493938282 ISBN-13(EAN): 9781493938285
Издательство: Springer
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Цена: 79190.00 T
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Описание: Introduction.- An Introduction to Evidence-Centered Design.- Bayesian Probability and Statistics: a review.- Basic graph theory and graphical models.- Efficient calculations.- Some Example Networks.- Explanation and Test Construction.- Parameters for Bayesian Network Models.- Learning in Models with Fixed Structure.- Critiquing and Learning Model Structure.- An Illustrative Example.- The Conceptual Assessment Framework.- The Evidence Accumulation Process.- The Biomass Measurement Model.- The Future of Bayesian Networks in Educational Assessment.- Bayesian Network Resources.- References.

Автор: Uffe B. Kj?rulff; Anders L. Madsen
Название: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
ISBN: 1441925465 ISBN-13(EAN): 9781441925466
Издательство: Springer
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Цена: 71690.00 T
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Описание: This book provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. The theory and methods presented are illustrated through more than 140 examples.

Автор: Dawn E. Holmes
Название: Innovations in Bayesian Networks
ISBN: 3540850651 ISBN-13(EAN): 9783540850656
Издательство: Springer
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Цена: 191560.00 T
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Описание: Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume the editors have brought together contributions from some of the most prestigious researchers in this field.

Автор: Huang
Название: Intelligent Computing Methodologies
ISBN: 3319422960 ISBN-13(EAN): 9783319422961
Издательство: Springer
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Цена: 98760.00 T
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Описание: This book - in conjunction with the double volume set LNCS 9771 and LNCS 9772 - constitutes the refereed proceedings of the 12th International Conference on Intelligent Computing, ICIC 2016, held in Lanzhou, China, in August 2016.The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. The papers are organized in topical sections such as signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal processing; pattern recognition; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and optimization; soft computing; protein structure and function prediction; advances in swarm intelligence: algorithms and applications; optimization, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision; knowledge representation and expert system; bioinformatics.

Автор: Nuno Pina; Janusz Kacprzyk; Joaquim Filipe
Название: Simulation and Modeling Methodologies, Technologies and Applications
ISBN: 364234335X ISBN-13(EAN): 9783642343353
Издательство: Springer
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Цена: 113190.00 T
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Описание: This book contains papers from the First International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2011, held in Noordwijkerhout, The Netherlands.