95 search results - page 16 / 19 » Core Vector Regression for very large regression problems |
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
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 ...
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...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...