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Artificial Neural Networks And Machine Learning Icann 2016


Artificial Neural Networks And Machine Learning Icann 2016
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Artificial Neural Networks And Machine Learning Icann 2016


Artificial Neural Networks And Machine Learning Icann 2016
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Author : Alessandro E.P. Villa
language : en
Publisher: Springer
Release Date : 2016-08-26

Artificial Neural Networks And Machine Learning Icann 2016 written by Alessandro E.P. Villa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-26 with Computers categories.


The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.



Artificial Neural Networks And Machine Learning Icann 2016


Artificial Neural Networks And Machine Learning Icann 2016
DOWNLOAD
Author : Alessandro E.P. Villa
language : en
Publisher: Springer
Release Date : 2016-08-26

Artificial Neural Networks And Machine Learning Icann 2016 written by Alessandro E.P. Villa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-26 with Computers categories.


The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.



Explanatory Model Analysis


Explanatory Model Analysis
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Author : Przemyslaw Biecek
language : en
Publisher: CRC Press
Release Date : 2021-03-17

Explanatory Model Analysis written by Przemyslaw Biecek and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Business & Economics categories.


Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.



Machine Learning For Data Streams


Machine Learning For Data Streams
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Author : Albert Bifet
language : en
Publisher: MIT Press
Release Date : 2018-03-16

Machine Learning For Data Streams written by Albert Bifet and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-16 with Computers categories.


A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.



Geo Information For Disaster Monitoring And Management


Geo Information For Disaster Monitoring And Management
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Author : Prem C. Pandey
language : en
Publisher: Springer Nature
Release Date : 2024-05-22

Geo Information For Disaster Monitoring And Management written by Prem C. Pandey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-22 with Nature categories.


The objective of this publication is to provide insight into advancing remote sensing techniques dealing with floods, droughts, landslides, earthquakes, permafrost-related hazards, glacial lake outburst floods, forest fires, droughts, tropical cyclones, climate resilience and COVID-19. This publication will incorporate the latest technologies and techniques to illustrate disaster monitoring for acquiring information and dissemination of technological results and outcomes for the betterment of society. This publication would be of immense importance for earth scientists, policymakers and professionals working in the field of disaster risk reduction.



Artificial Intelligence And Brain Research


Artificial Intelligence And Brain Research
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Author : Patrick Krauss
language : en
Publisher: Springer Nature
Release Date : 2024-07-12

Artificial Intelligence And Brain Research written by Patrick Krauss and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Science categories.


How does artificial intelligence (AI) work and are there parallels to the human brain? What do natural and artificial intelligence have in common, and what are the differences? Is the brain nothing more than a biological computer? What are neural networks and how can the term deep learning be explained simply? Since the cognitive revolution in the middle of the last century, AI and brain research have been closely intertwined. There have been several spectacular breakthroughs in the field of AI in recent years, from alphaGo to DALL-E 2 and ChatGPT, which were completely unthinkable until recently. However, researchers are already working on the innovations of tomorrow, such as hybrid machine learning or neuro-symbolic AI. But what does this actually mean? Based on current research findings and exciting practical examples, this non-fiction book provides an understandable introduction to the basics and challenges of these fascinating disciplines. You will learn what neuroscience and psychology know about how the brain works and how artificial intelligence works. You will also learn how AI has revolutionized our understanding of the brain and how findings from brain research are used in computer science to further develop AI algorithms. Discover the fascinating world of these two disciplines. Find out why artificial intelligence and brain research are two sides of the same coin and how they will shape our future.



Hci International 2023 Late Breaking Papers


Hci International 2023 Late Breaking Papers
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Author : Helmut Degen
language : en
Publisher: Springer Nature
Release Date : 2023-11-25

Hci International 2023 Late Breaking Papers written by Helmut Degen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-25 with Computers categories.


This seven-volume set LNCS 14054-14060 constitutes the proceedings of the 25th International Conference, HCI International 2023, in Copenhagen, Denmark, in July 2023. For the HCCII 2023 proceedings, a total of 1578 papers and 396 posters was carefully reviewed and selected from 7472 submissions. Additionally, 267 papers and 133 posters are included in the volumes of the proceedings published after the conference, as “Late Breaking Work”. These papers were organized in the following topical sections: HCI Design and User Experience; Cognitive Engineering and Augmented Cognition; Cultural Issues in Design; Technologies for the Aging Population; Accessibility and Design for All; Designing for Health and Wellbeing; Information Design, Visualization, Decision-making and Collaboration; Social Media, Creative Industries and Cultural Digital Experiences; Digital Human Modeling, Ergonomics and Safety; HCI in Automated Vehicles and Intelligent Transportation; Sustainable GreenSmart Cities and Smart Industry; eXtended Reality Interactions; Gaming and Gamification Experiences; Interacting with Artificial Intelligence; Security, Privacy, Trust and Ethics; Learning Technologies and Learning Experiences; eCommerce, Digital Marketing and eFinance.



Cyberdefense


Cyberdefense
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Author : Marcus Matthias Keupp
language : en
Publisher: Springer Nature
Release Date : 2023-09-19

Cyberdefense written by Marcus Matthias Keupp and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-19 with Business & Economics categories.


This book analyzes cyberdefense from a novel and interdisciplinary perspective, offering solutions for problems that have long impeded a more efficient defense. It explains why cyberdefense organized and performed by humans is too slow, too cumbersome, and too ineffective. Combining the analytical capabilities of experts in operations research and management, international security studies, economics, risk analysis, and defense management, the volume addresses these problems of current cyberdefense. The authors present suggestions for the next generation of cyberdefense, explaining why the future defense must focus on speeding up responses, why a single response may not be enough, and why effectiveness requires foresight. This makes the book a must-read for scholars, researchers, intelligence analysts, homeland security staff, and professionals who are interested in learning more about the issues of current cyberdefense, as well assolutions for the next generation of cyberdefense.



Evolutionary Deep Neural Architecture Search Fundamentals Methods And Recent Advances


Evolutionary Deep Neural Architecture Search Fundamentals Methods And Recent Advances
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Author : Yanan Sun
language : en
Publisher: Springer Nature
Release Date : 2022-11-08

Evolutionary Deep Neural Architecture Search Fundamentals Methods And Recent Advances written by Yanan Sun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-08 with Technology & Engineering categories.


This book systematically narrates the fundamentals, methods, and recent advances of evolutionary deep neural architecture search chapter by chapter. This will provide the target readers with sufficient details learning from scratch. In particular, the method parts are devoted to the architecture search of unsupervised and supervised deep neural networks. The people, who would like to use deep neural networks but have no/limited expertise in manually designing the optimal deep architectures, will be the main audience. This may include the researchers who focus on developing novel evolutionary deep architecture search methods for general tasks, the students who would like to study the knowledge related to evolutionary deep neural architecture search and perform related research in the future, and the practitioners from the fields of computer vision, natural language processing, and others where the deep neural networks have been successfully and largely used in their respective fields.



Proceedings Of International Conference On Frontiers In Computing And Systems


Proceedings Of International Conference On Frontiers In Computing And Systems
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Author : Ram Sarkar
language : en
Publisher: Springer Nature
Release Date : 2023-07-31

Proceedings Of International Conference On Frontiers In Computing And Systems written by Ram Sarkar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Technology & Engineering categories.


This book gathers high-quality research papers presented at the 3rd International Conference on Frontiers in Computing and Systems (COMSYS 2022) held at Indian Institute of Technology Ropar, Punjab, India, during December 19–21, 2022. The book covers research in “cyber-physical systems for real-life applications” pertaining to AI, machine learning, and data science; devices, circuits, and systems; computational biology, biomedical informatics and network medicine; communication networks, cloud computing and IoT; image, video and signal processing; and security and privacy.