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Found 4 papers, 2 papers with code
Learning Safe and Optimal Control Strategies for Storm Water Detention Ponds
Simulation results for an existing pond show that Uppaal Stratego can learn optimal strategies that prevent emergency overflows, where the current static control is not always able to prevent it.
Probabilistic Models with Deep Neural Networks
Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling.
Bayesian Models of Data Streams with Hierarchical Power Priors
Making inferences from data streams is a pervasive problem in many modern data analysis applications.
AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning
The AMIDST Toolbox is a software for scalable probabilistic machine learning with a spe- cial focus on (massive) streaming data.
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