410 search results - page 27 / 82 » Ensembles of biased classifiers |
ECML
2001
Springer
15 years 3 months ago
2001
Springer
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
ICPR
2004
IEEE
16 years 6 days ago
2004
IEEE
Recent empirical work has shown that combining predictors can lead to significant reduction in generalization error. The individual predictors (weak learners) can be very simple, ...
90
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INFFUS
2002
14 years 10 months ago
2002
This study looks at the relationships between different methods of classifier combination and different measures of diversity. We considered ten combination methods and ten measur...
AUSAI
2008
Springer
15 years 1 months ago
2008
Springer
Abstract. Bias variance decomposition for classifiers is a useful tool in understanding classifier behavior. Unfortunately, the literature does not provide consistent guidelines on...
130
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AI
2002
Springer
14 years 11 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...