32 search results - page 3 / 7 » Regularization and feature selection in least-squares tempor... |
KDD
2007
ACM
14 years 6 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
MLDM
2009
Springer
13 years 10 months ago
2009
Springer
The new approach of relevant feature selection in machine learning is proposed for the case of ordered features. Feature selection and regularization of decision rule are combined ...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...
BMCBI
2010
13 years 5 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
JAIR
2006
13 years 5 months ago
2006
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...