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Ensemble Learning: Pattern Classification Using Ensemble Methods - Research Book

Ensemble Learning: Pattern Classification Using Ensemble Methods - Research Book

Best Research Book in Ensemble Learning: Pattern Classification Using Ensemble Methods

Author(s) Name:  Lior Rokach

About the Book:

   Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies. Thus, they are faced with a wide variety of methods, given the growing interest in the field. This book aims to impose a degree of order upon this diversity by presenting a coherent and unified repository of ensemble methods, theories, trends, challenges and applications.
   The book describes in detail the classical methods, as well as the extensions and novel approaches developed recently. Along with algorithmic descriptions of each method, it also explains the circumstances in which this method is applicable and the consequences and the trade-offs incurred by using the method.

Table of Contents

  • Introduction to Pattern Classification
  • Introduction to Ensemble Learning
  • Ensemble Classification
  • Ensemble Diversity
  • Ensemble Selection
  • Error Correcting Output Codes
  • Evaluating Ensembles of Classifiers

    • ISBN:  978-981-4271-06-6

    Publisher:  World Scientific Publishing

    Year of Publication:  2010

    Book Link:  Home Page Url