research
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08/20/2018
Supervised Kernel PCA For Longitudinal Data
In statistical learning, high covariate dimensionality poses challenges ...
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03/13/2013
Reformulating Inference Problems Through Selective Conditioning
We describe how we selectively reformulate portions of a belief network ...
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03/13/2013
Dynamic Network Models for Forecasting
We have developed a probabilistic forecasting methodology through a synt...
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03/06/2013
Additive Belief-Network Models
The inherent intractability of probabilistic inference has hindered the ...
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03/06/2013
Forecasting Sleep Apnea with Dynamic Network Models
Dynamic network models (DNMs) are belief networks for temporal reasoning...
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02/13/2013