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IWINAC
2007
Springer
14 years 2 months ago
EDNA: Estimation of Dependency Networks Algorithm
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
José A. Gámez, Juan L. Mateo, Jose M...
MOBICOM
2005
ACM
14 years 1 months ago
An analytical model for the dimensioning of a GPRS/EDGE network with a capacity constraint on a group of cells
This paper is a contribution to the generic problem of having simple and accurate models to dimension radio cells with data traffic on a GPRS or EDGE network. It addresses the iss...
Georges Nogueira, Bruno Baynat, Pierre Eisenmann
BMCBI
2011
12 years 11 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray
TSP
2010
13 years 2 months ago
Randomized and distributed self-configuration of wireless networks: two-layer Markov random fields and near-optimality
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
Sung-eok Jeon, Chuanyi Ji
WSC
2001
13 years 9 months ago
Simone: large scale train network simulations
This paper describes the architecture and potentials of Simone. Simone is a simulation environment to generate, simulate and analyze complex and large scale train networks. The pu...
Dick Middelkoop, Michiel Bouwman