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» The Computational Complexity of Probabilistic Planning
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EVOW
2001
Springer
14 years 1 months ago
Autonomous Photogrammetric Network Design Using Genetic Algorithms
Abstract. This work describes the use of genetic algorithms for automating the photogrammetric network design process. When planning a photogrammetric network, the cameras should b...
Gustavo Olague
VISUALIZATION
1999
IEEE
14 years 1 months ago
Visualization of Conflicts and Resolutions in a "Free Flight" Scenario
"Free Flight" will change today's air traffic control system by giving pilots increased flexibility to choose and modify their routes in real time, reducing costs a...
Ronald Azuma, Howard Neely, Michael Daily, Mario C...
DAS
2006
Springer
14 years 16 days ago
Exploratory Analysis System for Semi-structured Engineering Logs
Engineering diagnosis often involves analyzing complex records of system states printed to large, textual log files. Typically the logs are designed to accommodate the widest debug...
Michael Flaster, Bruce Hillyer, Tin Kam Ho
AAAI
2007
13 years 11 months ago
Purely Epistemic Markov Decision Processes
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
Régis Sabbadin, Jérôme Lang, N...
AIPS
2008
13 years 11 months ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu