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CONCUR
2008
Springer
14 years 11 months ago
Abstraction for Stochastic Systems by Erlang's Method of Stages
ion for Stochastic Systems by Erlang's Method of Stages Joost-Pieter Katoen1 , Daniel Klink1 , Martin Leucker2 , and Verena Wolf3 1 RWTH Aachen University 2 TU Munich 3 EPF La...
Joost-Pieter Katoen, Daniel Klink, Martin Leucker,...
AAAI
1998
14 years 11 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer
CORR
2012
Springer
235views Education» more  CORR 2012»
13 years 5 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
59
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BCSHCI
2008
14 years 11 months ago
Heterogeneity in the usability evaluation process
Current prediction models for usability evaluations are based on stochastic distributions derived from series of Bernoulli processes. The underlying assumption of these models is ...
Martin Schmettow

Presentation
1518views
16 years 11 months ago
Stochastic Segmentation of Blood Vessels From Time-of-Flight
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna