Ensemble Learning

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Number of references:	456	Last update:	June 21, 2004
Number of online publications:	224	Supported:	yes
Most recent reference:	2004

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Information on the Bibliography

Author:

Gavin Brown <g . brown @ cs . bham . ac . uk> (email mangled to prevent spamming)
School of Computer Science, University of Birmingham, UK

Copyright:

Gavin Brown

Abstract:

This is a (growing) online bibliography of ensemble learning papers, mostly focusing on neural networks, but it is broadening. Subjects vary from boosting, +bagging, mixtures of experts, and pure statistics, to overlaps with evolutionary computation, financial forecasting and physics. A number of these papers are also +available for download.

Keywords:

ensemble, bagging, boosting, neural network, mixture of experts

Author Comments:

All in Bibtex format, contributions are welcome!

Browsing the bibliography

• Original source:

  http://www.cs.bham.ac.uk... (Format: bibtex)

  Other sites:

  http://www.cs.bham.ac.uk... (Format: html)
  

Bibliographic Statistics

Types:

inproceedings(251), article(133), techreport(20), misc(13), book(12), inbook(10), incollection(7), phdthesis(6), proceedings(4)

Fields:

title(456), author(452), year(451), pages(366), booktitle(262), publisher(235), month(225), url(225), address(190), volume(153), journal(131), number(114), abstract(55), editor(45), institution(22), keywords(17), note(15), isbn(14), chapter(10), notes(10), type(9), series(7), size(7), school(6), publisher_address(5), text(5), organization(3), pdf(3), class(2), howpublished(2), issue(2), organisation(2), ps(2), psgz(2), comment(1), editors(1), numver(1), page(1)

Distribution of publication dates:

Please direct comments regarding the bibliography collection to <liinwwwa@ira.uka.de>. This page is part of the Computer Science Bibliography Collection. Copyright © 1994-2004, Alf-Christian Achilles. All Rights Reserved.