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Computational Intelligence for High-Dimensional Machine Learning

53,49 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 18bbf7369a2bfa489192cd34e4af14965f
Autor: Kwong, Sam Zhang, Xiao Zhou, Yu
Themengebiete: Bioinformatics Computational Intelligence Deep neural networks Evolutionary computation Feature selection Machine learning Real-world applications Smart cities
Veröffentlichungsdatum: 27.03.2025
EAN: 9789819626861
Sprache: Englisch
Seitenzahl: 122
Produktart: Kartoniert / Broschiert
Verlag: Springer Singapore
Untertitel: A Feature Selection Perspective and Its Real-World Applications
Produktinformationen "Computational Intelligence for High-Dimensional Machine Learning"
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.

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