1860 search results - page 16 / 372 » Boosting Methods for Regression |
BMCBI
2010
14 years 9 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
14 years 11 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...
109
click to vote
JMLR
2002
14 years 9 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...
100
Voted
ICML
1999
IEEE
15 years 10 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...
67
Voted
ICPR
2006
IEEE
15 years 10 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 ...