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WADT
1999
Springer
13 years 11 months ago
From States to Histories
Based on the FOCUS theory of distributed systems (see [Broy, Stølen 01]) that are composed of interacting components we introduce a formal model of services and layered architectu...
Manfred Broy
NIPS
2003
13 years 8 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
ARTS
1999
Springer
13 years 11 months ago
ProbVerus: Probabilistic Symbolic Model Checking
Model checking can tell us whether a system is correct; probabilistic model checking can also tell us whether a system is timely and reliable. Moreover, probabilistic model checkin...
Vicky Hartonas-Garmhausen, Sérgio Vale Agui...
ASMTA
2008
Springer
167views Mathematics» more  ASMTA 2008»
13 years 9 months ago
Perfect Simulation of Stochastic Automata Networks
The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
Paulo Fernandes, Jean-Marc Vincent, Thais Webber
ICPR
2002
IEEE
14 years 9 days ago
Stochastic Filtering for Motion Trajectory in Image Sequences Using a Monte Carlo Filter with Estimation of Hyper-Parameters
False matching due to errors in feature extraction and changes in illumination between frames may occur in feature tracking in image sequences. False matching leads to outliers in...
Naoyuki Ichimura