ITEM METADATA RECORD
Title: Frankenstein classifiers: Some experiments
Authors: Blockeel, Hendrik ×
Struyf, Jan #
Issue Date: 2001
Host Document: Proceedings of the Eleventh Belgian-Dutch Conference on Machine Learning pages:5-12
Conference: Belgian-Dutch Conference on Machine Learning edition:11 location:Antwerpen, Belgium date:December 21, 2001
Abstract: We present some empirical results on the use of two methods for integrating different classifiers into a hybrid classifier that should perform better than each of its constituent classifiers. The main point of these methods is that instead of combining full classifiers, they combine pieces of them. One of the methods is based on ROC analysis; the other is based on augmenting the data with features derived from earlier learned classifiers. Experimental results are presented that suggest that these approaches can yield improvements over combining full classifiers.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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