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FDL
2004
IEEE
14 years 1 months ago
Predictability in Real-time System Development (1) Semantics Support from Development Languages
With the increasing complexity of real-time control systems, it is important to have sufficient predictability support for a development approach in order to promote the likelihoo...
Jinfeng Huang, Jeroen Voeten, Andre Ventevogel
UAI
1998
13 years 11 months ago
Learning From What You Don't Observe
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
Mark A. Peot, Ross D. Shachter
AAAI
2010
13 years 11 months ago
Relational Partially Observable MDPs
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...
Chenggang Wang, Roni Khardon
ICCS
2007
Springer
14 years 4 months ago
Adaptive Observation Strategies for Forecast Error Minimization
Abstract. Using a scenario of multiple mobile observing platforms (UAVs) measuring weather variables in distributed regions of the Pacific, we are developing algorithms that will ...
Nicholas Roy, Han-Lim Choi, Daniel Gombos, James H...
JUCS
2006
107views more  JUCS 2006»
13 years 10 months ago
Sequential Data Assimilation: Information Fusion of a Numerical Simulation and Large Scale Observation Data
: Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which...
Kazuyuki Nakamura, Tomoyuki Higuchi, Naoki Hirose