342 search results - page 21 / 69 » Refining Generative Language Models using Discriminative Lea... |
ACL
2007
13 years 8 months ago
2007
Unsupervised learning of linguistic structure is a difficult problem. A common approach is to define a generative model and maximize the probability of the hidden structure give...
IJON
2011
13 years 2 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 ...
ECBS
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper we argue for UML-based metamodeling and pattern-based graph transformation techniques in computer-based systems development through an illustrative example from the ...
EMNLP
2006
13 years 8 months ago
2006
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
IJCV
2008
13 years 7 months ago
2008
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...