1732 search results - page 12 / 347 » Selection of Generative Models in Classification |
CLOR
2006
15 years 1 months ago
2006
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
NIPS
2008
14 years 11 months ago
2008
Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Multi-class classification schemes typically require human input in the form of precise category names or numbers for each example to be annotated – providing this can be impra...
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BIBE
2008
IEEE
14 years 11 months ago
2008
IEEE
Recent advances of robotic/mechanical devices enable us to measure a subject's performance in an objective and precise manner. The main issue of using such devices is how to r...
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...