95 search results - page 10 / 19 » Ensembles of Kernel Predictors |
109
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ICML
2007
IEEE
16 years 14 days ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
126
Voted
CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
The ability to normalize pose based on super-category landmarks can significantly improve models of individual categories when training data are limited. Previous methods have co...
SDM
2007
SIAM
15 years 1 months ago
2007
SIAM
The problem of identifying mislabeled training examples has been examined in several studies, with a variety of approaches developed for editing the training data to obtain better...
104
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ICPR
2008
IEEE
16 years 26 days ago
2008
IEEE
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
88
Voted
ECML
2005
Springer
15 years 5 months ago
2005
Springer
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...