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SPIN
2010
Springer
13 years 6 months ago
Time-Bounded Reachability in Distributed Input/Output Interactive Probabilistic Chains
Abstract. We develop an algorithm to compute timed reachability probabilities for distributed models which are both probabilistic and nondeterministic. To obtain realistic results ...
Georgel Calin, Pepijn Crouzen, Pedro R. D'Argenio,...
BMCBI
2006
146views more  BMCBI 2006»
13 years 8 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
AAAI
2006
13 years 9 months ago
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
ECRTS
2005
IEEE
14 years 1 months ago
Non-blocking Deterministic Replacement of Functionality, Timing, and Data-Flow for Hard Real-Time Systems at Runtime
Embedded systems are usually an integral component of a larger system and are used to control and/or directly monitor this system by using special hardware devices. The complexity...
Sebastian Fischmeister, Klemens Winkler
AMC
2006
114views more  AMC 2006»
13 years 8 months ago
A multi-objective resource allocation problem in dynamic PERT networks
We develop a multi-objective model for the resource allocation problem in a dynamic PERT network, where the activity durations are exponentially distributed random variables and t...
Amir Azaron, Reza Tavakkoli-Moghaddam