625 search results - page 12 / 125 » Large-scale manifold learning |
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
JMLR
2008
13 years 9 months ago
2008
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
SIGIR
2006
ACM
14 years 3 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...
SAINT
2005
IEEE
14 years 3 months ago
2005
IEEE
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...