The Collection of
Computer Science Bibliographies

Ensemble Learning

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Number of references:642Last update:July 16, 2007
Number of online publications:109Supported:yes
Most recent reference:May 2007

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Information on the Bibliography

Author:
Gavin Brown <gbrown @ cs . man . 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

Bibliographic Statistics

Types:
inproceedings(386), article(190), techreport(20), book(9), inbook(9), phdthesis(9), incollection(7), misc(7), proceedings(5)
Fields:
title(642), year(639), author(637), pages(546), booktitle(401), ee(233), volume(196), journal(188), publisher(159), number(147), month(115), editor(90), address(83), url(65), abstract(58), institution(22), isbn(18), keywords(12), type(9), note(8), school(8), series(8), annote(7), chapter(7), notes(5), text(5), organization(4), publisher_address(4), size(4), issue(3), pdf(3), class(2), doi(2), doi-url(2), editors(2), comment(1), issn(1), location(1), numver(1), organisation(1), page(1), ps(1), psgz(1)
Distribution of publication dates:
Distribution of publication dates

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