Computational Intelligence for High-Dimensional Machine Learning A Feature Selection Perspective and Its Real-World Applications
- Paperback
- Publisher:
- Springer Nature Singapore
- Release Date:
- 2025
- ISBN-10:
- 9819626862
- ISBN-13:
- 9789819626861
-
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About Computational Intelligence for High-Dimensional Machine Learning A Feature…
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…
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