Racing committees for large datasets.

About this item

Title

Racing committees for large datasets.

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

This paper proposes a method for generating classifiers from large datasets by building a committee of simple base classifiers using a standard boosting algorithm. It allows the processing of large datasets even if the underlying base learning algorithm cannot efficiently do so. The basic idea is to split incoming data into chunks and build a committee based on classifiers build from these individual chunks [3]. Our method extends earlier work in two ways: (a) the best chunk size is chosen au...

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Format

Research paper

Research format

Working or discussion paper

Date created

2002-06-01

Creator

Frank, Eibe / Holmes, Geoffrey / Kirkby, Richard Brendon / Hall, Mark A.

URL

https://hdl.handle.net/10289/39

Related subjects

Machine learning

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