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AI
2006
Springer
15 years 3 months ago
Exploiting Dynamic Independence in a Static Conditioning Graph
Abstract. A conditioning graph (CG) is a graphical structure that attempt to minimize the implementation overhead of computing probabilities in belief networks. A conditioning grap...
Kevin Grant, Michael C. Horsch
JMLR
2011
187views more  JMLR 2011»
14 years 6 months ago
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
ICDAR
2007
IEEE
15 years 6 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
SEMCO
2009
IEEE
15 years 6 months ago
Understanding Implicit Entities and Events with Getaruns
- Semantic processing represents the new challenge for all applications that require text understanding, as for instance Q/A. In this paper we will highlight the need to couple sta...
Rodolfo Delmonte
CADE
2001
Springer
16 years 4 days ago
Exploiting Pseudo Models for TBox and ABox Reasoning in Expressive Description Logics
This paper investigates optimization techniques and data structures exploiting the use of so-called pseudo models. These techniques are applied to speed up TBox and ABox reasoning ...
Anni-Yasmin Turhan, Ralf Möller, Volker Haars...