1860 search results - page 16 / 372 » Boosting Methods for Regression |
BMCBI
2010
13 years 7 months ago
2010
Background: While high-dimensional molecular data such as microarray gene expression data have been used for disease outcome prediction or diagnosis purposes for about ten years i...
NIPS
2003
13 years 8 months ago
2003
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...
JMLR
2002
13 years 7 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
AdaCost, a variant of AdaBoost, is a misclassification cost-sensitive boosting method. It uses the cost of misclassifications to update the training distribution on successive boo...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper we present a unsupervised learning based approach for sub-pixel motion estimation. The novelty of this work is the learning based method itself which tries to learn ...