Minimum Error Entropy Classification

This book explains the minimum error entropy (MEE) concept applied to data classification machines. Discusses theoretical results, offers a clustering algorithm using a MEE-like concept, and includes tests, evaluation experiments and comparative applications. Read More

This book explains the minimum error entropy (MEE) concept applied to data classification machines. Discusses theoretical results, offers a clustering algorithm using a MEE-like concept, and includes tests, evaluation experiments and comparative applications. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $29.70 (Expires Dec 28, 2024) 60 Day Rental: $39.60 (Expires Jan 27, 2025) 90 Day Rental: $49.50 (Expires Feb 26, 2025) 120 Day Rental: $59.40 (Expires Mar 28, 2025) 180 Day Rental: $64.35 (Expires May 27, 2025) Buy eBook Lifetime Access: $99.00 Title: Minimum Error Entropy Classification by Joaquim P. Marques De Sá; Luís M.A. Silva; Jorge M.F. Santos; Luís A. Alexandre Publisher: Springer Nature Print ISBN: 9783642437427, 3642437427 eText ISBN: 9783642290299 Edition: 2014 2013 edition Format: PDF eBook	$29.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ