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» Computation with imprecise probabilities
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ACL
2009
15 years 2 months ago
Modeling Morphologically Rich Languages Using Split Words and Unstructured Dependencies
We experiment with splitting words into their stem and suffix components for modeling morphologically rich languages. We show that using a morphological analyzer and disambiguator...
Deniz Yuret, Ergun Biçici
ICCV
2011
IEEE
14 years 4 months ago
Delta-Dual Hierarchical Dirichlet Processes: A pragmatic abnormal behaviour detector
In the security domain a key problem is identifying rare behaviours of interest. Training examples for these behaviours may or may not exist, and if they do exist there will be fe...
Tom Haines, Queen Mary, Tao Xiang
ECOOP
2012
Springer
13 years 7 months ago
Evaluating the Design of the R Language - Objects and Functions for Data Analysis
R is a dynamic language for statistical computing that combines lazy functional features and object-oriented programming. This rather unlikely linguistic cocktail would probably ne...
Floréal Morandat, Brandon Hill, Leo Osvald,...
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ACL
2012
13 years 6 months ago
Improving the IBM Alignment Models Using Variational Bayes
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
Darcey Riley, Daniel Gildea
JMLR
2012
13 years 7 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...