862 search results - page 12 / 173 » Regularized Learning with Networks of Features |
68
Voted
MLDM
2009
Springer
15 years 4 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 ...
ICML
2009
IEEE
16 years 13 days ago
2009
IEEE
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
ACL
2012
13 years 2 months ago
2012
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
Dimensionality reduction via feature projection has been widely used in pattern recognition and machine learning. It is often beneficial to derive the projections not only based o...
65
Voted
ICANN
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...