Is Independence Good For Combining Classifiers? (2000)
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by
L. I. Kuncheva
,
C. J. Whitaker, et al.
| Citations: | 33 - 3 self |
BibTeX
@INPROCEEDINGS{Kuncheva00isindependence,
author = {L. I. Kuncheva and C. J. Whitaker and et al.},
title = {Is Independence Good For Combining Classifiers?},
booktitle = {},
year = {2000},
pages = {168--171},
publisher = {}
}
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Abstract
Independence between individual classifiers is typically viewed as an asset in classifier fusion. We study the limits on the majority vote accuracy when combining dependent classifiers. Q statistics are used
