410 search results - page 55 / 82 » Ensembles of biased classifiers |
113
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KDD
2008
ACM
15 years 11 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
151
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BIB
2011
14 years 2 months ago
2011
Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
121
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SMC
2010
IEEE
14 years 9 months ago
2010
IEEE
—Text classification is a widely studied topic in the area of machine learning. A number of techniques have been developed to represent and classify text documents. Most of the t...
Publication
An ability to accurately classify observed packet errors according to their root cause: physical layer or MAC layer contention, in 802.11 networks, opens up many opportunities for ...
ICDM
2005
IEEE
15 years 4 months ago
2005
IEEE
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...