Tsihrintzis George A., Virvou Maria, Jain Lakhmi C. Advances in Machine Learning/Deep Learning-Based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis

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Автор: Tsihrintzis George A., Virvou Maria, Jain Lakhmi C.
Название: Advances in Machine Learning/Deep Learning-Based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis - Vol. 2
ISBN: 9783030767938
Издательство: Springer
Классификация:

Искусственный интеллект

Машинное обучение

ISBN-10: 3030767930
Обложка/Формат: Hardcover
Страницы: 226
Вес: 0.53 кг.
Дата издания: 16.10.2021
Серия: Learning and analytics in intelligent systems
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 70 illustrations, color; 15 illustrations, black and white; xvi, 224 p. 85 illus., 70 illus. in color.
Размер: 23.39 x 15.60 x 1.60 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Workshops of the european conference on machine learning and knowledge discovery in databases (ecml pkdd 2020): sogood 2020, pdfl 2020, mlcs 2020, nfmcp 2020, dina 2020, edml 2020, xkdd 2020 and inra 2020, ghent, belgium, september 14-18, 2020, proce
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
Дополнительное описание: Part I: Machine Learning/Deep Learning in Socializing and Entertainment.- Part II: Machine Learning/Deep Learning in.- Part III: Machine Learning/Deep Learning in Security.- Part IV: Machine Learning/Deep Learning in Time Series Forecasting.- Part V: Mach

Advances in Machine Learning/Deep Learning-Based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis - Vol. 2, Tsihrintzis George A., Virvou Maria, Jain Lakhmi C.