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

Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition)
Author :
Publisher : World Scientific
Total Pages : 301
Release :
ISBN-10 : 9789811201974
ISBN-13 : 9811201978
Rating : 4/5 (74 Downloads)

Book Synopsis Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition) by : Lior Rokach

Download or read book Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition) written by Lior Rokach and published by World Scientific. This book was released on 2019-02-27 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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

Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition)
Language: en
Pages: 301
Authors: Lior Rokach
Categories: Computers
Type: BOOK - Published: 2019-02-27 - Publisher: World Scientific

DOWNLOAD EBOOK

This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applica
Pattern Classification Using Ensemble Methods
Language: en
Pages: 242
Authors: Lior Rokach
Categories: Computers
Type: BOOK - Published: 2010 - Publisher: World Scientific

DOWNLOAD EBOOK

1. Introduction to pattern classification. 1.1. Pattern classification. 1.2. Induction algorithms. 1.3. Rule induction. 1.4. Decision trees. 1.5. Bayesian metho
Ensemble Learning
Language: en
Pages: 0
Authors: Lior Rokach
Categories: Algorithms
Type: BOOK - Published: 2019 - Publisher: World Scientific Publishing Company

DOWNLOAD EBOOK

This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applica
Ensemble Methods
Language: en
Pages: 238
Authors: Zhi-Hua Zhou
Categories: Business & Economics
Type: BOOK - Published: 2012-06-06 - Publisher: CRC Press

DOWNLOAD EBOOK

An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurat
Ensemble Classification Methods with Applications in R
Language: en
Pages: 174
Authors: Esteban Alfaro
Categories: Mathematics
Type: BOOK - Published: 2018-11-05 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

An essential guide to two burgeoning topics in machine learning – classification trees and ensemble learning Ensemble Classification Methods with Applications