Ensemble Learning: Pattern Classification Using Ensemble Methods
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A01=Lior Rokach
Author_Lior Rokach
Big Data
Category=UYQM
Category=UYQP
Data Science
Decision Tree
Ensemble Learning
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Gradient Boosting Machine
Machine Learning
Random Forest
Product details
- ISBN 9789811201950
- Publication Date: 25 Mar 2019
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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.
