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IJCNN
2006
IEEE
15 years 9 months ago
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP
— Cellular simultaneous recurrent neural network has been suggested to be a function approximator more powerful than the MLP’s, in particular for solving approximate dynamic pr...
Roman Ilin, Robert Kozma, Paul J. Werbos
EURONGI
2005
Springer
15 years 8 months ago
A Low Computation Cost Algorithm to Solve Cellular Systems with Retrials Accurately
Abstract. This paper proposes an approximate methodology for solving Markov models that compete for limited resources and retry when access fails, like those arising in mobile cell...
Maria José Doménech-Benlloch, Jos&ea...
INFOCOM
2010
IEEE
15 years 1 months ago
Deploying Mesh Nodes under Non-Uniform Propagation
Abstract—Wireless mesh networks are popular as a costeffective means to provide broadband connectivity to large user populations. A mesh network placement provides coverage, such...
Joshua Robinson, Mohit Singh, Ram Swaminathan, Edw...
UAI
2008
15 years 4 months ago
Bounds on the Bethe Free Energy for Gaussian Networks
We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. As an extension of Welling and ...
Botond Cseke, Tom Heskes
UAI
1996
15 years 4 months ago
Efficient Search-Based Inference for noisy-OR Belief Networks: TopEpsilon
Inference algorithms for arbitrary belief networks are impractical for large, complex belief networks. Inference algorithms for specialized classes of belief networks have been sh...
Kurt Huang, Max Henrion