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AIPS
2010
14 years 12 months ago
When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Emma Brunskill
CSDA
2006
191views more  CSDA 2006»
14 years 9 months ago
Forecasting daily time series using periodic unobserved components time series models
We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend, seasonal and irregu...
Siem Jan Koopman, Marius Ooms
SC
2009
ACM
15 years 4 months ago
Many task computing for multidisciplinary ocean sciences: real-time uncertainty prediction and data assimilation
Error Subspace Statistical Estimation (ESSE), an uncertainty prediction and data assimilation methodology employed for real-time ocean forecasts, is based on a characterization an...
Constantinos Evangelinos, Pierre F. J. Lermusiaux,...
DAIS
2007
14 years 11 months ago
Construction and Execution of Adaptable Applications Using an Aspect-Oriented and Model Driven Approach
Constructing and executing distributed applications that can adapt to their current operating context, in order to maintain or enhance Quality of Service (QoS) attribute levels, ar...
Sten A. Lundesgaard, Arnor Solberg, Jon Oldevik, R...
RAID
2004
Springer
15 years 3 months ago
RheoStat: Real-Time Risk Management
As the frequency of attacks faced by the average host connected to the Internet increases, reliance on manual intervention for response is decreasingly tenable. Operating system an...
Ashish Gehani, Gershon Kedem