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IJPRAI
1998
100views more  IJPRAI 1998»
13 years 8 months ago
Obtaining The Correspondence between Bayesian and Neural Networks
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
Athena Stassopoulou, Maria Petrou
AUTOMATICA
2010
98views more  AUTOMATICA 2010»
13 years 8 months ago
Explicit use of probabilistic distributions in linear predictive control
: The guarantee of feasibility given feasibility at initial time is an issue that has been overlooked by many of the recent papers on stochastic model predictive control. Effective...
Basil Kouvaritakis, Mark Cannon, Sasa V. Rakovic, ...
CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 8 months ago
Asymptotic Sum-Capacity of Random Gaussian Interference Networks Using Interference Alignment
We consider a dense n-user Gaussian interference network formed by paired transmitters and receivers placed independently at random in Euclidean space. Under natural conditions on ...
Matthew Aldridge, Oliver Johnson, Robert J. Piecho...
IJBC
2008
70views more  IJBC 2008»
13 years 8 months ago
Branched Manifolds, knotted Surfaces and Dynamical Systems
: The main goal of this paper is to introduce part of a new approach of proving the existence of a nontrivial knot on any embedded template. This proof in branched 2-manifold case,...
W. Chen, Stephen P. Banks
CORR
2010
Springer
155views Education» more  CORR 2010»
13 years 7 months ago
A New Upper Bound on the Average Error Exponent for Multiple-Access Channels
A new lower bound for the average probability or error for a two-user discrete memoryless (DM) multiple-access channel (MAC) is derived. This bound has a structure very similar to...
Ali Nazari, S. Sandeep Pradhan, Achilleas Anastaso...