Research Catalog

Pattern classification using ensemble methods

Title: Pattern classification using ensemble methods / Lior Rokach.
Author: Rokach, Lior.
Publication: Singapore ; Hackensack, NJ : World Scientific, ©2010.

Items in the Library & Off-site

Filter by

1 Item

Item details
Status	Format	Access	Call Number	Item Location
Request for On-site Use Request Scan How do I pick up this item and when will it be ready?	Text	Use in library	TK7882.P3 R632 2010	Off-site

Details

Description

xv, 225 pages : illustrations; 24 cm.

Summary

"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."--Jacket.

Series Statement

Series in machine perception and artificial intelligence ; v. 75

Uniform Title

Series in machine perception and artificial intelligence ; v. 75.

Subject

Bibliography (note)

Includes bibliographical references (p. 185-222) and index.

Contents

Introduction to pattern classification -- Introduction to ensemble learning -- Ensemble classification -- Ensemble diversity -- Ensemble selection -- Error correcting output codes -- Evaluating ensembles of classifiers.

ISBN

9789814271066
9814271063

LCCN

2010459142

OCLC

ocn540206468
540206468
SCSB-9342938

Owning Institutions

Princeton University Library