2898 search results - page 69 / 580 » Ensemble Methods in Machine Learning |
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
In cross-modal inference, we estimate complete fields from noisy and missing observations of one sensory modality using structure found in another sensory modality. This inference...
MCS
2010
Springer
13 years 9 months ago
2010
Springer
In a multiple classifier system, dynamic selection (DS) has been used successfully to choose only the best subset of classifiers to recognize the test samples. Dos Santos et al...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
In Nearest Rectangle (NR) learning, training instances are generalized into hyperrectangles and a query is classified according to the class of its nearest rectangle. The method ha...
HAIS
2011
Springer
12 years 11 months ago
2011
Springer
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguis...