Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition)

This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced.Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized.The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods.

Author: Lior Rokach
Publisher: World Scientific Publishing Company
Published: 03/25/2019
Pages: 300
Binding Type: Hardcover
Weight: 1.26lbs
Size: 9.00h x 6.00w x 0.69d
ISBN13: 9789811201950
ISBN10: 9811201951
BISAC Categories:
- Computers | Artificial Intelligence | Computer Vision & Pattern Recognit
- Computers | Machine Theory