568 search results - page 20 / 114 » On Latent Belief Structures |
AI
2000
Springer
13 years 8 months ago
2000
Springer
We present a new approach to dealing with default information based on the theory of belief functions. Our semantic structures, inspired by Adams' -semantics, are epsilon-beli...
ICML
1997
IEEE
14 years 9 months ago
1997
IEEE
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
EMNLP
2010
13 years 6 months ago
2010
In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic features. Rather than directly ...
MICCAI
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. Spatial priors, such as probabilistic atlases, play an important role in MRI segmentation. However, the availability of comprehensive, reliable and suitable manual segmen...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...