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researcher

John Mark Agosta

Microsoft

5 papers hereh-index 10605 citations42 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author1
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.CV1
  • cs.NI1
affiliations
  • Microsoft
  • Intel Research
  • Toyota ITC, SRI International
Homepage

identity via Semantic Scholar / OpenAlex

most citedConstraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response

8 citations · 16 across the 5 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.