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DAGM
2004
Springer
15 years 7 months ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola
ESANN
2006
15 years 3 months ago
A Cyclostationary Neural Network model for the prediction of the NO2 concentration
Air pollution control is a major environmental concern. The quality of air is an important factor for everyday life in cities, since it affects the health of the community and dire...
Monica Bianchini, Ernesto Di Iorio, Marco Maggini,...
IJAR
2008
92views more  IJAR 2008»
15 years 2 months ago
Predicting causality ascriptions from background knowledge: model and experimental validation
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
Jean-François Bonnefon, Rui Da Silva Neves,...
ARTMED
2002
92views more  ARTMED 2002»
15 years 2 months ago
Predicting glaucomatous visual field deterioration through short multivariate time series modelling
In bio-medical domains there are many applications involving the modelling of multivariate time series (MTS) data. One area that has been largely overlooked so far is the particul...
Stephen Swift, Xiaohui Liu
TC
2002
15 years 1 months ago
Performance Modeling and Prediction of Nondedicated Network Computing
The low cost and wide availability of networks of workstations have made them an attractive solution for high performance computing. However, while a network of workstations may be...
Linguo Gong, Xian-He Sun, Edward F. Watson