Pattern classification using ensemble methods

Research output: Book/ReportBookpeer-review

168 Scopus citations

Abstract

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.
Original languageEnglish
Place of PublicationSingapore
PublisherWorld Scientific
Number of pages225
ISBN (Electronic)1282757857, 9786612757853, 9789814271066, 9789814271073, 9814271071
ISBN (Print)978-981-4271-06-6, 978-981-4468-31-2
DOIs
StatePublished - 2010

Publication series

NameSeries in Machine Perception and Artificial Intelligence
Volume75
ISSN (Print)1793-0839

ASJC Scopus subject areas

  • Computer Science (all)
  • Mathematics (all)

Fingerprint

Dive into the research topics of 'Pattern classification using ensemble methods'. Together they form a unique fingerprint.

Cite this