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» A Bayesian Model of Conditioned Perception
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CP
2003
Springer
14 years 23 days ago
Terminating Decision Algorithms Optimally
Incomplete decision algorithms can often solve larger problem instances than complete ones. The drawback is that one does not know whether the algorithm will finish soon, later, ...
Tuomas Sandholm
AI
2000
Springer
13 years 7 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
SIGMETRICS
2005
ACM
197views Hardware» more  SIGMETRICS 2005»
14 years 1 months ago
On the performance characteristics of WLANs: revisited
Wide-spread deployment of infrastructure WLANs has made Wi-Fi an integral part of today’s Internet access technology. Despite its crucial role in affecting end-to-end performan...
Sunwoong Choi, Kihong Park, Chong-kwon Kim
CORR
2008
Springer
103views Education» more  CORR 2008»
13 years 7 months ago
Quickest Change Detection of a Markov Process Across a Sensor Array
Recent attention in quickest change detection in the multi-sensor setting has been on the case where the densities of the observations change at the same instant at all the sensor...
Vasanthan Raghavan, Venugopal V. Veeravalli
CHI
2002
ACM
14 years 8 months ago
What makes people trust online gambling sites?
A validated model of trust was used as a framework for an empirical study to identify on- and offline factors that influence gamblers' perception of an online casino's t...
Bhiru Shelat, Florian N. Egger