56 search results - page 2 / 12 » Boosting additive models using component-wise P-Splines |
PAMI
2012
11 years 7 months ago
2012
—It has been shown that the Universum data, which do not belong to either class of the classification problem of interest, may contain useful prior domain knowledge for training...
NIPS
2001
13 years 6 months ago
2001
We derive an equivalence between AdaBoost and the dual of a convex optimization problem, showing that the only difference between minimizing the exponential loss used by AdaBoost ...
DAGM
2008
Springer
13 years 7 months ago
2008
Springer
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
NIPS
2004
13 years 6 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...