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» Approximate Expectation Maximization
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107
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FS
2006
84views more  FS 2006»
15 years 3 months ago
Iterative construction of the optimal Bermudan stopping time
Abstract. We present an iterative procedure for computing the optimal Bermudan stopping time, hence the Bermudan Snell envelope. The method produces an increasing sequence of appro...
Anastasia Kolodko, John Schoenmakers
158
Voted
JAIR
2006
143views more  JAIR 2006»
15 years 3 months ago
Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...
Tom Heskes
113
Voted
PE
2008
Springer
106views Optimization» more  PE 2008»
15 years 3 months ago
Heavy traffic analysis of polling models by mean value analysis
In this paper we present a new approach to derive heavy-traffic asymptotics for polling models. We consider the classical cyclic polling model with exhaustive or gated service at ...
Robert D. van der Mei, Erik M. M. Winands
INFOCOM
2010
IEEE
15 years 2 months ago
Change Management in Enterprise IT Systems: Process Modeling and Capacity-optimal Scheduling
Abstract—We provide a formal model for the Change Management process for Enterprise IT systems, and develop change scheduling algorithms that seek to attain the “change capacit...
Praveen Kumar Muthuswamy, Koushik Kar, Sambit Sahu...
134
Voted
MOBIHOC
2010
ACM
15 years 1 months ago
Greedy geographic routing in large-scale sensor networks: a minimum network decomposition approach
In geographic (or geometric) routing, messages are expected to route in a greedy manner: the current node always forwards a message to its neighbor node that is closest to the des...
Anne-Marie Kermarrec, Guang Tan