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122
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PE
2010
Springer
170views Optimization» more  PE 2010»
15 years 8 days ago
Approximating passage time distributions in queueing models by Bayesian expansion
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Giuliano Casale
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 8 days ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
117
Voted
SPIRE
2010
Springer
15 years 7 days ago
Why Large Closest String Instances Are Easy to Solve in Practice
We initiate the study of the smoothed complexity of the Closest String problem by proposing a semi-random model of Hamming distance. We restrict interest to the optimization versio...
Christina Boucher, Kathleen Wilkie
TAP
2010
Springer
191views Hardware» more  TAP 2010»
15 years 7 days ago
Mesh saliency and human eye fixations
raction, simplification, segmentation, illumination, rendering, and illustration. Even though this technique is inspired by models of low-level human vision, it has not yet been v...
Youngmin Kim, Amitabh Varshney, David W. Jacobs, F...
TCOM
2010
92views more  TCOM 2010»
15 years 7 days ago
Detection of Gaussian constellations in MIMO systems under imperfect CSI
Abstract—This paper considers the problem of Gaussian symbols detection in MIMO systems in the presence of channel estimation errors. Under this framework we develop a computatio...
Ido Nevat, Gareth W. Peters, Jinhong Yuan