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CISIS
2009
IEEE
14 years 5 months ago
Ontology-Based Generation of Bayesian Networks
Bayesian networks are indispensable for determining the probability of events which are influenced by various components. Bayesian probabilities encode degrees of belief about ce...
Stefan Fenz, A. Min Tjoa, Marcus Hudec
KI
2005
Springer
14 years 4 months ago
A Probabilistic Multimodal Sensor Aggregation Scheme Applied for a Mobile Robot
Dealing with methods of human-robot interaction and using a real mobile robot, stable methods for people detection and tracking are fundamental features of such a system and requir...
Erik Schaffernicht, Christian Martin, Andrea Schei...
CP
2003
Springer
14 years 4 months ago
Terminating Decision Algorithms Optimally
Incomplete decision algorithms can often solve larger problem instances than complete ones. The drawback is that one does not know whether the algorithm will finish soon, later, ...
Tuomas Sandholm
WSC
2007
14 years 1 months ago
Hierarchical planning and multi-level scheduling for simulation-based probabilistic risk assessment
Simulation of dynamic complex systems—specifically, those comprised of large numbers of components with stochastic behaviors—for the purpose of probabilistic risk assessment f...
Hamed Nejad, Dongfeng Zhu, Ali Mosleh
EOR
2002
73views more  EOR 2002»
13 years 10 months ago
Stochastic conditional and unconditional warfare
This article constructs a foundation for warfare at the individual level, where agents in two groups fire and absorb shots according to a non-stationary Poisson process. We determ...
Kjell Hausken, John F. Moxnes