Advances In Machine Learning And Cybernetics

Author : Daniel S. Yeung
Publisher : Springer Science & Business Media
ISBN 13 : 3540335846
Total Pages : 1129 pages
Book Rating : 4.49/5 ( download)

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Download or read book Advances in Machine Learning and Cybernetics written by Daniel S. Yeung and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 1129 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Daniel S. Yeung
Publisher : Springer
ISBN 13 : 9783540335856
Total Pages : 0 pages
Book Rating : 4.54/5 ( download)

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Download or read book Advances in Machine Learning and Cybernetics written by Daniel S. Yeung and published by Springer. This book was released on 2006-05-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Vinit Kumar Gunjan
Publisher : Springer
ISBN 13 : 9789811531279
Total Pages : 0 pages
Book Rating : 4.77/5 ( download)

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Download or read book Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies written by Vinit Kumar Gunjan and published by Springer. This book was released on 2021-04-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 9811531250
Total Pages : 593 pages
Book Rating : 4.55/5 ( download)

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Download or read book Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2020-04-28 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 9811516324
Total Pages : 315 pages
Book Rating : 4.20/5 ( download)

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Download or read book Cybernetics, Cognition and Machine Learning Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2020-04-20 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 9813366915
Total Pages : 439 pages
Book Rating : 4.16/5 ( download)

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Download or read book Cybernetics, Cognition and Machine Learning Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2021-03-30 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.

Author : Yagang Zhang
Publisher : BoD – Books on Demand
ISBN 13 : 953307034X
Total Pages : 375 pages
Book Rating : 4.46/5 ( download)

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Download or read book New Advances in Machine Learning written by Yagang Zhang and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call “learning” tasks, as we use the word in daily life. It is also broad enough to encompass computers that improve from experience in quite straightforward ways. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners. The wide scope of the book provides a good introduction to many approaches of machine learning, and it is also the source of useful bibliographical information.

Author : Kelvin K. L. Wong
Publisher : John Wiley & Sons
ISBN 13 : 1394217501
Total Pages : 436 pages
Book Rating : 4.02/5 ( download)

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Download or read book Cybernetical Intelligence written by Kelvin K. L. Wong and published by John Wiley & Sons. This book was released on 2023-10-11 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: CYBERNETICAL INTELLIGENCE Highly comprehensive, detailed, and up-to-date overview of artificial intelligence and cybernetics, with practical examples and supplementary learning resources Cybernetical Intelligence: Engineering Cybernetics with Machine Intelligence is a comprehensive guide to the field of cybernetics and neural networks, as well as the mathematical foundations of these technologies. The book provides a detailed explanation of various types of neural networks, including feedforward networks, recurrent neural networks, and convolutional neural networks as well as their applications to different real-world problems. This groundbreaking book presents a pioneering exploration of machine learning within the framework of cybernetics. It marks a significant milestone in the field’s history, as it is the first book to describe the development of machine learning from a cybernetics perspective. The introduction of the concept of “Cybernetical Intelligence” and the generation of new terminology within this context propel new lines of thought in the historical development of artificial intelligence. With its profound implications and contributions, this book holds immense importance and is poised to become a definitive resource for scholars and researchers in this field of study. Each chapter is specifically designed to introduce the theory with several examples. This comprehensive book includes exercise questions at the end of each chapter, providing readers with valuable opportunities to apply and strengthen their understanding of cybernetical intelligence. To further support the learning journey, solutions to these questions are readily accessible on the book’s companion site. Additionally, the companion site offers programming practice exercises and assignments, enabling readers to delve deeper into the practical aspects of the subject matter. Cybernetical Intelligence includes information on: The history and development of cybernetics and its influence on the development of neural networks Developments and innovations in artificial intelligence and machine learning, such as deep reinforcement learning, generative adversarial networks, and transfer learning Mathematical foundations of artificial intelligence and cybernetics, including linear algebra, calculus, and probability theory Ethical implications of artificial intelligence and cybernetics as well as responsible and transparent development and deployment of AI systems Presenting a highly detailed and comprehensive overview of the field, with modern developments thoroughly discussed, Cybernetical Intelligence is an essential textbook that helps students make connections with real-life engineering problems by providing both theory and practice, along with a myriad of helpful learning aids.

Author : International Institute for Advanced Studies in Systems Research and Cybernetics
Publisher : Windsor, Ont. : International Institute for Advanced Studies in Systems Research and Cybernetics
ISBN 13 :
Total Pages : 616 pages
Book Rating : 4.39/5 ( download)

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Download or read book Advances in Systems Research and Cybernetics: Advances in computer science written by International Institute for Advanced Studies in Systems Research and Cybernetics and published by Windsor, Ont. : International Institute for Advanced Studies in Systems Research and Cybernetics. This book was released on 1988 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Valentina E. Balas
Publisher : Springer Nature
ISBN 13 : 303090119X
Total Pages : 340 pages
Book Rating : 4.96/5 ( download)

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Download or read book Recent Advances in Internet of Things and Machine Learning written by Valentina E. Balas and published by Springer Nature. This book was released on 2022-02-14 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.