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UAI
2004
13 years 6 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
AAAI
1998
13 years 6 months ago
Branch and Bound Algorithm Selection by Performance Prediction
Wepropose a method called Selection by Performance Prediction (SPP) which allows one, when faced with a particular problem instance, to select a Branch and Boundalgorithm from amo...
Lionel Lobjois, Michel Lemaître
JCM
2008
104views more  JCM 2008»
13 years 4 months ago
An OFDM Symbol Design for Reduced Complexity MMSE Channel Estimation
In this paper we revisit the minimum mean square error (MMSE) pilot-aided channel estimation for broadband orthogonal frequency division multiplexing (OFDM) systems. The careful de...
Carlos Ribeiro, Atílio Gameiro
VLSID
2005
IEEE
123views VLSI» more  VLSID 2005»
14 years 5 months ago
Variance Reduction in Monte Carlo Capacitance Extraction
In this article we address efficiency issues in implementation of Monte Carlo algorithm for 3D capacitance extraction. Error bounds in statistical capacitance estimation are discus...
Shabbir H. Batterywala, Madhav P. Desai
JCB
2006
140views more  JCB 2006»
13 years 4 months ago
HAPLOFREQ-Estimating Haplotype Frequencies Efficiently
A commonly used tool in disease association studies is the search for discrepancies between the haplotype distribution in the case and control populations. In order to find this d...
Eran Halperin, Elad Hazan