Xiao Zhang – författare
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Cyberspace Safety and Security
11th International Symposium, CSS 2019, Guangzhou, China, December 1–3, 2019, Proceedings, Part I
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Cyberspace Safety and Security
11th International Symposium, CSS 2019, Guangzhou, China, December 1–3, 2019, Proceedings, Part II
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This volume comprises papers from four APWeb/WAIM 2009 workshops, which are 1. International Workshop on Web-based Contents Management Technologies (WCMT 2009), 2. International Workshop on Real-Time Business Intelligence (RTBI 2009), 3. International Workshop on DataBase and Information Retrieval and Aspects in Evaluating Holistic Quality of Ontology-based Information Retrieval (DBIR-ENQOIR 2009), as well as 4. International Workshop on Process Aware Information Systems (PAIS 2009.
These four workshops were selected from a public call-for-proposals process. The workshop organizers have put a tremendous amount of effort into soliciting and selecting research papers with a balance of high quality and new ideas and new applications.
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This book focuses on the modelling and optimization aspects of the feature selection problem through computational intelligence methods in complex, high-dimensional supervised machine learning. To aid readers in conducting research in this field, it covers fundamental concepts and state-of-the-art algorithms. This book also provides a detailed insight into applying these algorithms into real-world applications. The authors begin by introducing the definition high-dimensional machine learning (ML) problems and the challenges they pose. Subsequently, they delve into dimension reduction methods for high-dimensional ML, including global and local feature selection (FS) techniques. This book also comprehensively presents computational intelligence methods such as evolutionary computation and deep neural networks for FS, supported by both theoretical and empirical evidence. Furthermore, this book explores real-world scenario applications involving high-dimensional ML, particularly in the context of smart cities, bioinformatics and industrial informatics.
This book is a suitable read for postgraduates and researchers who are interested in the research areas of computational intelligence, soft computing, machine learning and deep learning. Professionals and practitioners within these related fields will also benefit from this book.