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AAAI
2007
13 years 9 months ago
Macroscopic Models of Clique Tree Growth for Bayesian Networks
In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to characterizing ...
Ole J. Mengshoel
DIAGRAMS
2004
Springer
14 years 3 days ago
Bayesian Boxes: A Colored Calculator for Picturing Posteriors
The need for Bayesian inference arises in military intelligence, medical diagnosis and many other practical applications. The problem is that human inferences are generally conserv...
Kevin Burns
NIPS
2008
13 years 8 months ago
Hebbian Learning of Bayes Optimal Decisions
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
ICASSP
2009
IEEE
14 years 1 months ago
On the performance of semidefinite relaxation MIMO detectors for QAM constellations
Due to their computational efficiency and strong empirical performance, semidefinite relaxation (SDR)–based algorithms have gained much attention in multiple–input multiple...
Anthony Man-Cho So
TWC
2010
13 years 1 months ago
Performance analysis and power allocation for M-QAM cooperative diversity systems
An adaptive regenerate and forward cooperative diversity (CD) system using quadrature amplitude modulation (QAM) for a two-user cooperation is proposed. The proposed system can ach...
Veluppillai Mahinthan, Jon W. Mark, Xuemin Shen