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» Learning to Learn Causal Models
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APSEC
2007
IEEE
15 years 6 months ago
Modeling and Learning Interaction-based Accidents for Safety-Critical Software Systems
Analyzing accidents is a vital exercise in the development of safety-critical software systems to prevent past accidents from reoccurring in the future. Current practices such as ...
Tariq Mahmood, Edmund Kazmierczak, Tim Kelly, Denn...
ICML
2008
IEEE
16 years 14 days ago
Automatic discovery and transfer of MAXQ hierarchies
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by applying dynamic Bayesian network models to a successful...
Neville Mehta, Soumya Ray, Prasad Tadepalli, Thoma...
AAAI
1997
15 years 1 months ago
The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis
We address the problem of visually detecting causal events and tting them together into a coherent story of the action witnessed by the camera. We show that this can be done by re...
Matthew Brand
HICSS
2005
IEEE
175views Biometrics» more  HICSS 2005»
15 years 5 months ago
Causal Reasoning Engine: An Explanation-Based Approach to Syndromic Surveillance
1 Quickly detecting an unexpected pathogen can save many lives. In cases of bioterrorism or naturally occurring epidemics, accurate diagnoses may not be made until much of the popu...
Benjamin B. Perry, Tim Van Allen
ISMDA
2001
Springer
15 years 4 months ago
Learning Bayesian-Network Topologies in Realistic Medical Domains
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
Xiaofeng Wu, Peter J. F. Lucas, Susan Kerr, Roelf ...