Large Scale Hierarchical Classification: State of the Art
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This SpringerBrief covers the technical material related to large scale hierarchical classification (LSHC). HC is an important machine learning problem that has been researched and explored extensively in the past few years. In this book, the authors provide a comprehensive overview of various state-of-the-art existing methods and algorithms that were developed to solve the HC problem in large scale domains. Several challenges faced by LSHC is...
Format:Paperback
Language:English
ISBN:3030016196
ISBN13:9783030016197
Release Date:October 2018
Publisher:Springer
Length:93 Pages
Weight:0.37 lbs.
Dimensions:0.2" x 6.1" x 9.2"
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