Description: Ensemble Learning: Pattern Classification Using Ensemble MethodsAuthor(s): Lior Rokach Format: Hardback Publisher: World Scientific Publishing Co Pte Ltd, Singapore Imprint: World Scientific Publishing Co Pte Ltd ISBN-13: 9789811201950, 978-9811201950 Synopsis 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 [url] 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 [url] unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods.
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Book Title: Ensemble Learning: Pattern Classification Using Ensemble Methods
Publisher: World Industries Scientific Publishing Co Pte LTD
Publication Year: 2019
Subject: Computer Science
Number of Pages: 300 Pages
Language: English
Publication Name: Ensemble Learning: Pattern Classification Using Ensemble Methods
Type: Textbook
Author: Lior Rokach
Series: Series in Machine Perception and Artificial Intelligence
Format: Hardcover
