1900 search results - page 110 / 380 » Gaussian Processes in Machine Learning |
ICMLC
2010
Springer
13 years 7 months ago
2010
Springer
: The performance of a statistical machine translation (SMT) system heavily depends on the quantity and quality of the bilingual language resource. However, the pervious work mainl...
PR
2010
13 years 7 months ago
2010
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
COLING
2010
13 years 4 months ago
2010
We present an adaptation technique for statistical machine translation, which applies the well-known Bayesian learning paradigm for adapting the model parameters. Since state-of-t...
DATAMINE
2006
13 years 9 months ago
2006
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
NIPS
1998
13 years 10 months ago
1998
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...