190 search results - page 26 / 38 » PAC-Bayesian learning of linear classifiers |
JMLR
2006
14 years 9 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
PKDD
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
ICPR
2010
IEEE
14 years 7 months ago
2010
IEEE
We present a regression-based scheme for multi-view facial expression recognition based on 2-D geometric features. We address the problem by mapping facial points (e.g. mouth corn...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
CVPR
2001
IEEE
15 years 11 months ago
2001
IEEE
Outdoor scene classification is challenging due to irregular geometry, uncontrolled illumination, and noisy reflectance distributions. This paper discusses a Bayesian approach to ...