[download pdf] Computational Intelligence for High-Dimensional Machine Learning: A Feature Selection Perspective and Its Real-World Applications by Yu Zhou, Xiao Zhang, Sam Kwong

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Computational Intelligence for High-Dimensional Machine Learning: A Feature Selection Perspective and Its Real-World Applications Yu Zhou, Xiao Zhang, Sam Kwong ebook

  • Page: 122
  • Format: pdf / epub / kindle
  • ISBN: 9789819626861
  • Publisher: Springer Nature Singapore

Download or Read Online Computational Intelligence for High-Dimensional Machine Learning: A Feature Selection Perspective and Its Real-World Applications Free Book (PDF ePub Mobi) by Yu Zhou, Xiao Zhang, Sam Kwong Computational Intelligence for High-Dimensional Machine Learning: A Feature Selection Perspective and Its Real-World Applications Yu Zhou, Xiao Zhang, Sam Kwong PDF, Computational Intelligence for High-Dimensional Machine Learning: A Feature Selection Perspective and Its Real-World Applications Yu Zhou, Xiao Zhang, Sam Kwong Epub, Computational Intelligence for High-Dimensional Machine Learning: A Feature Selection Perspective and Its Real-World Applications Yu Zhou, Xiao Zhang, Sam Kwong Read Online, Computational Intelligence for High-Dimensional Machine Learning: A Feature Selection Perspective and Its Real-World Applications Yu Zhou, Xiao Zhang, Sam Kwong Audiobook, Computational Intelligence for High-Dimensional Machine Learning: A Feature Selection Perspective and Its Real-World Applications Yu Zhou, Xiao Zhang, Sam Kwong VK, Computational Intelligence for High-Dimensional Machine Learning: A Feature Selection Perspective and Its Real-World Applications Yu Zhou, Xiao Zhang, Sam Kwong Kindle, Computational Intelligence for High-Dimensional Machine Learning: A Feature Selection Perspective and Its Real-World Applications Yu Zhou, Xiao Zhang, Sam Kwong Epub VK, Computational Intelligence for High-Dimensional Machine Learning: A Feature Selection Perspective and Its Real-World Applications Yu Zhou, Xiao Zhang, Sam Kwong Free Download

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)...

 

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