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IJAR
2006
118views more  IJAR 2006»
13 years 5 months ago
Learning Bayesian network parameters under order constraints
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
A. J. Feelders, Linda C. van der Gaag
AMCS
2010
146views Mathematics» more  AMCS 2010»
13 years 5 months ago
Sensor network design for the estimation of spatially distributed processes
satisfactory network connectivity have dominated this line of research and abstracted away from the mathematical description of the physical processes underlying the observed pheno...
Dariusz Ucinski, Maciej Patan
EUSFLAT
2009
103views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Possibility Distribution: a unified representation for parameter estimation
Abstract-- the paper presents a possibility formulation of oneparameter estimation that unifies some usual probability formulations. Point and confidence interval estimation are un...
Gilles Mauris
ICASSP
2010
IEEE
13 years 6 months ago
A non-iterative estimator for the concentration parameter of the relative phase distribution
In this paper, we propose an approximation of the relative phase probability function (RP pdf) and use it to find a non-iterative estimator for the concentration parameter of the...
Yothin Rakvongthai, Soontorn Oraintara
TSP
2010
13 years 14 days ago
Distributed estimation of channel gains in wireless sensor networks
We consider the problem of distributed channel estimation in a sensor network which employs a random sleep strategy to conserve energy. If the N network nodes are randomly placed a...
Sivagnanasundaram Ramanan, John MacLaren Walsh