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Knowledge Discovery from Data Streams
book

Knowledge Discovery from Data Streams

by Joao Gama
May 2010
Intermediate to advanced content levelIntermediate to advanced
255 pages
8h 11m
English
Chapman and Hall/CRC
Content preview from Knowledge Discovery from Data Streams
Chapter 10
Ensembles of Classifiers
The term multiple models or ensemble of classifiers is used to identify a set of
classifiers for which individual decisions are in some way combined (typically
by voting) to classify new examples (Dietterich, 1997). The main idea behind
any multiple model system is based on the observation that different learn-
ing algorithms explore different representation languages, search spaces, and
evaluation functions of the hypothesis. How can we explore these differences?
Is it possible to design a set of classifiers that working together can obtain a
better performance than each individual classifier? Multiple models are also
used ...
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Publisher Resources

ISBN: 9781439826126