Abstract—In this paper, we focus on applications with quantitative QoS (Quality of Service) requirements in their end-toend response time. Two types of quantitative QoS garantees...
Probabilistic reasoning with multiply sectioned Bayesian networks (MSBNs) has been successfully applied in static domains under the cooperative multiagent paradigm. Probabilistic ...
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
ABSTRACT. Action-probabilistic logic programs (ap-programs) are a class of probabilistic logic programs that have been extensively used during the last few years for modeling behav...
Range queries for querying the current and future positions of the moving objects have received growing interests in the research community. Existing methods, however, assume that...
Bruce S. E. Chung, Wang-Chien Lee, Arbee L. P. Che...