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» Inference in Bayesian Networks
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UAI
2004
15 years 8 months ago
Robust Probabilistic Inference in Distributed Systems
Probabilistic inference problems arise naturally in distributed systems such as sensor networks and teams of mobile robots. Inference algorithms that use message passing are a nat...
Mark A. Paskin, Carlos Guestrin
EUROSSC
2007
Springer
16 years 22 days ago
Inferring and Distributing Spatial Context
An increasing number of computationally enhanced objects is distributed around us in physical space, which are equipped – or at least can be provided – with sensors for measuri...
Clemens Holzmann
UAI
2004
15 years 8 months ago
Annealed MAP
Maximum a Posteriori assignment (MAP) is the problem of finding the most probable instantiation of a set of variables given the partial evidence on the other variables in a Bayesi...
Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
TKDE
2011
176views more  TKDE 2011»
15 years 1 months ago
Experience Transfer for the Configuration Tuning in Large-Scale Computing Systems
—This paper proposes a new strategy, the experience transfer, to facilitate the management of large-scale computing systems. It deals with the utilization of management experienc...
Haifeng Chen, Wenxuan Zhang, Guofei Jiang
WWW
2009
ACM
16 years 7 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel