34 search results - page 5 / 7 » Structural-EM for learning PDG models from incomplete data |
EMNLP
2008
13 years 7 months ago
2008
String-to-string transduction is a central problem in computational linguistics and natural language processing. It occurs in tasks as diverse as name transliteration, spelling co...
IEAAIE
2009
Springer
13 years 4 months ago
2009
Springer
Knowledge engineering techniques are becoming useful and popular components of hybrid integrated systems used to solve complicated practical problems in different fields. Knowledge...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
IJCV
2000
13 years 6 months ago
2000
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
JMLR
2006
13 years 6 months ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...