8 citations · 16 across the 5 of their papers we have counts for
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cs.AI2013★ 4 cited
The structure of Bayes nets for vision recognition
John Mark Agosta
This paper is part of a study whose goal is to show the effciency of using Bayes networks to carry out model based vision calculations. [Binford et al. 1987] Recognition proceeds b…
cs.AI2013★ 1 cited
"Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-Or" Models
John Mark Agosta
This paper examines the interdependence generated between two parent nodes with a common instantiated child node, such as two hypotheses sharing common evidence. The relation so ge…
cs.AI2013★ 8 cited
Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response
John Mark Agosta
This paper works through the optimization of a real world planning problem, with a combination of a generative planning tool and an influence diagram solver. The problem is taken f…