211 search results - page 34 / 43 » Classification Models with Global Constraints for Ordinal Da... |
DCC
2009
IEEE
15 years 10 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
LREC
2010
14 years 11 months ago
2010
In this paper we present an experimental toolbox for automatic tree-to-tree alignment based on local classification and alignment inference. The aligner implements a recurrent arc...
ECAI
2010
Springer
14 years 7 months ago
2010
Springer
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
SCALESPACE
2007
Springer
15 years 3 months ago
2007
Springer
In this paper, we address the problem of estimating mesoscale dynamics of atmospheric layers from satellite image sequences. Relying on a physically sound vertical decomposition of...
NIPS
2003
14 years 10 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...