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08/09/2019
Probabilistic Models with Deep Neural Networks
Recent advances in statistical inference have significantly expanded the...
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07/07/2017
Bayesian Models of Data Streams with Hierarchical Power Priors
Making inferences from data streams is a pervasive problem in many moder...
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04/04/2017
AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning
The AMIDST Toolbox is a software for scalable probabilistic machine lear...
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01/23/2013
Welldefined Decision Scenarios
Influence diagrams serve as a powerful tool for modelling symmetric deci...
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01/16/2013
Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example
When using Bayesian networks for modelling the behavior of man-made mach...
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01/16/2013