6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.AI2013★ 6 cited
Dynamic Network Models for Forecasting
Paul Dagum, Adam Galper, Eric J. Horvitz
We have developed a probabilistic forecasting methodology through a synthesis of belief network models and classical time-series analysis. We present the dynamic network model (DNM…
cs.AI2013
Additive Belief-Network Models
Paul Dagum, Adam Galper
The inherent intractability of probabilistic inference has hindered the application of belief networks to large domains. Noisy OR-gates [30] and probabilistic similarity networks […
cs.AI2013
Forecasting Sleep Apnea with Dynamic Network Models
Paul Dagum, Adam Galper
Dynamic network models (DNMs) are belief networks for temporal reasoning. The DNM methodology combines techniques from time series analysis and probabilistic reasoning to provide (…