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106
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GECCO
2007
Springer
15 years 4 months ago
2007
Springer
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
137
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JMLR
2006
15 years 20 days ago
2006
While methods for comparing two learning algorithms on a single data set have been scrutinized for quite some time already, the issue of statistical tests for comparisons of more ...
123
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ICML
2001
IEEE
16 years 1 months ago
2001
IEEE
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
113
Voted
GECCO
2006
Springer
15 years 4 months ago
2006
Springer
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
120
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...