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NAACL
2007
13 years 9 months ago
Translation Model Pruning via Usage Statistics for Statistical Machine Translation
We describe a new pruning approach to remove phrase pairs from translation models of statistical machine translation systems. The approach applies the original translation system ...
Matthias Eck, Stephan Vogel, Alex Waibel
DATE
2009
IEEE
167views Hardware» more  DATE 2009»
14 years 2 months ago
Analyzing the impact of process variations on parametric measurements: Novel models and applications
Abstract—In this paper we propose a novel statistical framework to model the impact of process variations on semiconductor circuits through the use of process sensitive test stru...
Sherief Reda, Sani R. Nassif
ISBI
2008
IEEE
14 years 8 months ago
Statistical colocalization in biological imaging with false discovery control
In this paper, we present a novel object-based statistical colocalization method. Our colocalization relies on multiple hypothesis tests on the distances between all pairs of the ...
Bo Zhang, Nicolas Chenouard, Jean-Christophe Olivo...
ICWS
2009
IEEE
13 years 5 months ago
Discovery of Optimized Web Service Configurations Using a Hybrid Semantic and Statistical Approach
We present a Semantic Optimized Service Discovery (SemOSD) approach capable of handling Web service search requests on a fine-grained level of detail where we augment semantic ser...
Maciej Zaremba, Jacek Migdal, Manfred Hauswirth
ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 3 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...