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» Statistical Models of Conditioning
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EMNLP
2008
14 years 11 months ago
Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation
We present Minimum Bayes-Risk (MBR) decoding over translation lattices that compactly encode a huge number of translation hypotheses. We describe conditions on the loss function t...
Roy Tromble, Shankar Kumar, Franz Josef Och, Wolfg...
GPB
2010
146views Solid Modeling» more  GPB 2010»
14 years 7 months ago
Quality Assessment of Transcriptome Data Using Intrinsic Statistical Properties
Guillaume Brysbaert, François-Xavier Pellay...
NN
2000
Springer
165views Neural Networks» more  NN 2000»
14 years 9 months ago
Learning non-stationary conditional probability distributions
While sophisticated neural networks and graphical models have been developed for predicting conditional probabilities in a non-stationary environment, major improvements in the tr...
Dirk Husmeier
PEPM
2010
ACM
15 years 6 months ago
Conditional weighted pushdown systems and applications
Pushdown systems are well understood as abstract models of programs with (recursive) procedures. Reps et al. recently extended pushdown systems into weighted pushdown systems, whi...
Xin Li, Mizuhito Ogawa
BMCBI
2006
86views more  BMCBI 2006»
14 years 10 months ago
The impact of sample imbalance on identifying differentially expressed genes
Background: Recently several statistical methods have been proposed to identify genes with differential expression between two conditions. However, very few studies consider the p...
Kun Yang, Jianzhong Li, Hong Gao