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FDL
2004
IEEE
15 years 4 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
15 years 1 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
15 years 1 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
15 years 6 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»
15 years 13 days 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