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» Structure learning of Bayesian networks using constraints
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AAAI
2007
13 years 9 months ago
Predictive Exploration for Autonomous Science
Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
David R. Thompson
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
12 years 10 months ago
Hierarchical CRF with product label spaces for parts-based models
— Non-rigid object detection is a challenging open research problem in computer vision. It is a critical part in many applications such as image search, surveillance, humancomput...
Gemma Roig, Xavier Boix Bosch, Fernando De la Torr...
ATAL
2009
Springer
14 years 1 months ago
Actor-agent application for train driver rescheduling
This paper describes the design, implementation, visualizations, results and lessons learned of a novel real-world socio-technical research system for the purpose of rescheduling ...
Erwin J. W. Abbink, David G. A. Mobach, Pieter-Jan...
DSN
2002
IEEE
13 years 11 months ago
Model Checking Performability Properties
Model checking has been introduced as an automated technique to verify whether functional properties, expressed in a formal logic like computational tree logic (CTL), do hold in a...
Boudewijn R. Haverkort, Lucia Cloth, Holger Herman...
HICSS
2005
IEEE
95views Biometrics» more  HICSS 2005»
14 years 9 days ago
Understanding the Effect of Risk Aversion on Risk
As we progress, society must intelligently address the following question: How much risk is acceptable? How we answer this question could have important consequences for the futur...
U. S. Bhatt, David E. Newman, Benjamin A. Carreras...