1 citations · 1 across the 2 of their papers we have counts for
3 papers
Free Energy Manifold: Score-Based Inference for Hybrid Bayesian Networks
Cheol Young Park, Shou Matsumoto
We introduce the Free Energy Manifold (FEM), a score-trained conditional energy model specialized for inference in hybrid Bayesian networks with discrete and continuous variables.…
Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud
Cheol Young Park, Shou Matsumoto, Jubyung Ha +1
The humanity has been facing a plethora of challenges associated with infectious diseases, which kill more than 6 million people a year. Although continuous efforts have been appli…
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks
Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa +1
Hybrid Bayesian Networks (HBNs), which contain both discrete and continuous variables, arise naturally in many application areas (e.g., image understanding, data fusion, medical di…