86 search results - page 3 / 18 » Modular implementation of adaptive decisions in stochastic s... |
INFFUS
2010
13 years 3 months ago
2010
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
CORR
2010
Springer
13 years 3 months ago
2010
Springer
Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in we...
FLAIRS
2004
13 years 6 months ago
2004
The current implementation of situation interpretation metrics (SIMs) in context-based reasoning (CxBR) simulations makes it difficult to effectively and efficiently characterize ...
WSC
2008
13 years 7 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
WSC
2004
13 years 6 months ago
2004
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...