Machine Learning And Cybernetics
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Advances In Cybernetics Cognition And Machine Learning For Communication Technologies
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2020-04-28
Advances In Cybernetics Cognition And Machine Learning For Communication Technologies written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-28 with Technology & Engineering categories.
This book highlights recent advances in Cybernetics, Machine Learning and Cognitive Science applied to Communications Engineering and Technologies, and presents high-quality research conducted by experts in this area. It provides a valuable reference guide for students, researchers and industry practitioners who want to keep abreast of the latest developments in this dynamic, exciting and interesting research field of communication engineering, driven by next-generation IT-enabled techniques. The book will also benefit practitioners whose work involves the development of communication systems using advanced cybernetics, data processing, swarm intelligence and cyber-physical systems; applied mathematicians; and developers of embedded and real-time systems. Moreover, it shares insights into applying concepts from Machine Learning, Cognitive Science, Cybernetics and other areas of artificial intelligence to wireless and mobile systems, control systems and biomedical engineering.
Advances In Machine Learning And Cybernetics
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Author : Daniel S. Yeung
language : en
Publisher: Springer
Release Date : 2006-05-05
Advances In Machine Learning And Cybernetics written by Daniel S. Yeung and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-05 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Machine Learning and Cybernetics, ICMLC 2005, held in Guangzhou, China in August 2005. The 114 revised full papers of this volume are organized in topical sections on agents and distributed artificial intelligence, control, data mining and knowledge discovery, fuzzy information processing, learning and reasoning, machine learning applications, neural networks and statistical learning methods, pattern recognition, vision and image processing.
International Journal Of Machine Learning And Cybernetics
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Author :
language : en
Publisher:
Release Date :
International Journal Of Machine Learning And Cybernetics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Machine Learning And Cybernetics
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Author : Xizhao Wang
language : en
Publisher: Springer
Release Date : 2014-12-04
Machine Learning And Cybernetics written by Xizhao Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-04 with Computers categories.
This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Cybernetics, Lanzhou, China, in July 2014. The 45 revised full papers presented were carefully reviewed and selected from 421 submissions. The papers are organized in topical sections on classification and semi-supervised learning; clustering and kernel; application to recognition; sampling and big data; application to detection; decision tree learning; learning and adaptation; similarity and decision making; learning with uncertainty; improved learning algorithms and applications.
Intelligent Engineering Systems And Computational Cybernetics
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Author : J.A. Tenreiro Machado
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-18
Intelligent Engineering Systems And Computational Cybernetics written by J.A. Tenreiro Machado and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-18 with Computers categories.
Engineering practice often has to deal with complex systems of multiple variable and multiple parameter models almost always with strong non-linear coupling. The conventional analytical techniques-based approaches for describing and predicting the behaviour of such systems in many cases are doomed to failure from the outset, even in the phase of the construction of a more or less appropriate mathematical model. These approaches normally are too categorical in the sense that in the name of “modelling accuracy” they try to describe all the structural details of the real physical system to be modelled. This can significantly increase the intricacy of the model and may result in a enormous computational burden without achieving considerable improvement of the solution. The best paradigm exemplifying this situation may be the classic perturbation theory: the less significant the achievable correction, the more work has to be invested to obtain it. A further important component of machine intelligence is a kind of “structural uniformity” giving room and possibility to model arbitrary particular details a priori not specified and unknown. This idea is similar to the ready-to-wear industry, which introduced products, which can be slightly modified later on in contrast to tailor-made creations aiming at maximum accuracy from the beginning. These subsequent corrections can be carried out by machines automatically. This “learning ability” is a key element of machine intelligence. The past decade confirmed that the view of typical components of the present soft computing as fuzzy logic, neural computing, evolutionary computation and probabilistic reasoning are of complementary nature and that the best results can be applied by their combined application. Today, the two complementary branches of Machine Intelligence, that is, Artificial Intelligence and Computational Intelligence serve as the basis of Intelligent Engineering Systems. Thehuge number of scientific results published in Journal and conference proceedings worldwide substantiates this statement. The present book contains several articles taking different viewpoints in the field of intelligent systems.
The Allure Of Machinic Life
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Author : John Johnston
language : en
Publisher: MIT Press
Release Date : 2008
The Allure Of Machinic Life written by John Johnston and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Artificial intelligence categories.
An account of the creation of new forms of life and intelligence in cybernetics, artificial life, and artificial intelligence that analyzes both the similarities and the differences among these sciences in actualizing life.The Allure of Machinic Life
Cybernetics Cognition And Machine Learning Applications
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer
Release Date : 2020-05-30
Cybernetics Cognition And Machine Learning Applications written by Vinit Kumar Gunjan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-30 with Technology & Engineering categories.
This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2019), which was held in Goa, India, on 16–17 August 2019. It covers the latest research trends and advances in the areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber-physical systems, and cybernetics.
The Nature Of The Machine And The Collapse Of Cybernetics
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Author : Alcibiades Malapi-Nelson
language : en
Publisher: Springer
Release Date : 2017-07-03
The Nature Of The Machine And The Collapse Of Cybernetics written by Alcibiades Malapi-Nelson and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-03 with Philosophy categories.
This book is a philosophical exploration of the theoretical causes behind the collapse of classical cybernetics, as well as the lesson that this episode can provide to current emergent technologies. Alcibiades Malapi-Nelson advances the idea that the cybernetic understanding of the nature of a machine entails ontological and epistemological consequences that created both material and theoretical conundrums. However, he proposes that given our current state of materials research, scientific practices, and research tools, there might be a way for cybernetics to flourish this time. The book starts with a historical and theoretical articulation of cybernetics in order to proceed with a philosophical explanation of its collapse—emphasizing the work of Alan Turing, Ross Ashby and John von Neumann. Subsequently, Malapi-Nelson unveils the common metaphysical signature shared between cybernetics and emergent technologies, identifying this signature as transhumanist in nature. Finally, avenues of research that may allow these disruptive technologies to circumvent the cybernetic fate are indicated. It is proposed that emerging technologies ultimately entail an affirmation of humanity.
Machine Learning And Cybernetics 2007 International Conference On
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Author :
language : en
Publisher:
Release Date : 2007
Machine Learning And Cybernetics 2007 International Conference On written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Cybernetics categories.
Computational Intelligence And Security
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Author : Yue Hao
language : en
Publisher: Springer
Release Date : 2006-06-18
Computational Intelligence And Security written by Yue Hao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-18 with Computers categories.
The two volume set LNAI 3801 and LNAI 3802 constitute the refereed proceedings of the annual International Conference on Computational Intelligence and Security, CIS 2005, held in Xi'an, China, in December 2005. The 338 revised papers presented - 254 regular and 84 extended papers - were carefully reviewed and selected from over 1800 submissions. The first volume is organized in topical sections on learning and fuzzy systems, evolutionary computation, intelligent agents and systems, intelligent information retrieval, support vector machines, swarm intelligence, data mining, pattern recognition, and applications. The second volume is subdivided in topical sections on cryptography and coding, cryptographic protocols, intrusion detection, security models and architecture, security management, watermarking and information hiding, web and network applications, image and signal processing, and applications.