2518 search results - page 14 / 504 » Machine learning in sedimentation modelling |
IJON
2011
13 years 4 months ago
2011
Restricted Boltzmann Machines (RBM) are well-studied generative models. For image data, however, standard RBMs are suboptimal, since they do not exploit the local nature of image ...
ESSMAC
2003
Springer
14 years 3 months ago
2003
Springer
CVPR
2012
IEEE
12 years 7 days ago
2012
IEEE
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
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...
COLING
2010
13 years 4 months ago
2010
This paper presents two pivot strategies for statistical machine transliteration, namely system-based pivot strategy and model-based pivot strategy. Given two independent source-p...