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Broad Learning Through Fusions

An Application on Social Networks
BookHardcover
Ranking42758in
CHF69.00

Description

This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning.
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Details

ISBN/GTIN978-3-030-12527-1
Product TypeBook
BindingHardcover
PublisherSpringer
Publishing date28/06/2019
Edition1st ed. 2019
Pages419 pages
LanguageEnglish
SizeWidth 183 mm, Height 260 mm, Thickness 29 mm
Weight1012 g
Article no.6276547
Publisher's article no.978-3-030-12527-1
CatalogsBuchzentrum
Data source no.29641694
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Author

Jiawei Zhang is Assistant Professor in the Department of Computer Science at Florida State University. In 2017 he founded IFM Lab, a research oriented academic laboratory, providing the latest information on fusion learning and data mining research works and application tools to both academia and industry.Philip S. Yu is Professor in the Department of Computer Science at the University of Illinois at Chicago and also holds the Wexler Chair in Information and Technology. He was manager of the Software Tools and Techniques group at the IBM Thomas J. Watson Research Center. Dr. Yu has published more than 500 papers in refereed journals and conferences. He holds or has applied for more than 300 US patents.

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