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NIPS
2003
13 years 8 months ago
Model Uncertainty in Classical Conditioning
We develop a framework based on Bayesian model averaging to explain how animals cope with uncertainty about contingencies in classical conditioning experiments. Traditional accoun...
Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. ...
WSC
2007
13 years 9 months ago
The range of predictions for calibrated agent-based simulation models
Agent-based simulation is increasingly used to study systems in many areas of business and science. Using agentbased simulation for prediction could be very valuable. However, the...
DongFang Shi, Roger J. Brooks
ISSRE
2003
IEEE
14 years 23 days ago
Assessing Uncertainty in Reliability of Component-Based Software Systems
Many architecture–based software reliability models were proposed in the past. Regardless of the accuracy of these models, if a considerable uncertainty exists in the estimates ...
Katerina Goseva-Popstojanova, Sunil Kamavaram
TWC
2008
145views more  TWC 2008»
13 years 7 months ago
Robust Optimization Models for Energy-Limited Wireless Sensor Networks under Distance Uncertainty
The distance between nodes in a wireless sensor network (WSN) is an important factor in the performance that can be extracted from the network for many tasks. However, the distanc...
Wei Ye, Fernando Ordóñez
JPDC
2008
122views more  JPDC 2008»
13 years 7 months ago
Stochastic robustness metric and its use for static resource allocations
This research investigates the problem of robust static resource allocation for distributed computing systems operating under imposed Quality of Service (QoS) constraints. Often, ...
Vladimir Shestak, Jay Smith, Anthony A. Maciejewsk...