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ACL
2000
15 years 6 months ago
A Maximum Entropy/Minimum Divergence Translation Model
I describe two methods for incorporating information about the relative positions of bilingual word pairs into a Maximum Entropy/Minimum Divergence translation model. The better o...
George F. Foster
145
Voted
CSDA
2010
91views more  CSDA 2010»
15 years 5 months ago
Default Bayesian model determination methods for generalised linear mixed models
In this paper, we consider a default strategy for fully Bayesian model determination for GLMMs. We address the two key issues of default prior specification and computation. In pa...
Antony M. Overstall, Jonathan J. Forster
ICASSP
2008
IEEE
15 years 11 months ago
Unsupervised language model adaptation via topic modeling based on named entity hypotheses
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
Yang Liu, Feifan Liu
128
Voted
ENTCS
2008
78views more  ENTCS 2008»
15 years 5 months ago
The Role of Visual Modeling and Model Transformations in Business-driven Development
This paper explores the emerging paradigm of business-driven development, which presupposes a methodology for developing IT solutions that directly satisfy business requirements a...
Jana Koehler, Rainer Hauser, Jochen Malte Küs...
121
Voted
IJON
2007
79views more  IJON 2007»
15 years 4 months ago
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two co
An adaptive Exponential Integrate-and-Fire (aEIF) model was used to predict the activity of layer-V-pyramidal neurons of rat neocortex under random current injection. A new protoc...
Claudia Clopath, Renaud Jolivet, Alexander Rauch, ...