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ICC
2007
IEEE
175views Communications» more  ICC 2007»
14 years 1 months ago
An Adaptive MIMO System Based on Unified Belief Propagation Detection
—An adaptive multiple input and multiple output with the code matrix index feedback [8]. One detector will (MIMO) system based on the unified belief propagation (BP) work in the ...
Xiumei Yang, Yong Xiong, Fan Wang
CORR
2010
Springer
113views Education» more  CORR 2010»
13 years 7 months ago
A two-step fusion process for multi-criteria decision applied to natural hazards in mountains
Abstract--Mountain river torrents and snow avalanches generate human and material damages with dramatic consequences. Knowledge about natural phenomenona is often lacking and exper...
Jean-Marc Tacnet, Mireille Batton-Hubert, Jean Dez...
UAI
1998
13 years 9 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
UMUAI
1998
157views more  UMUAI 1998»
13 years 7 months ago
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...
BMCBI
2007
215views more  BMCBI 2007»
13 years 7 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer