Large Scale Hierarchical Classification: State of the Art

by Huzefa Rangwala and Azad Naik

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"