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146
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UAI
2004
15 years 5 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
122
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HEURISTICS
2008
120views more  HEURISTICS 2008»
15 years 3 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti
121
Voted
RC
2007
60views more  RC 2007»
15 years 3 months ago
Linear Systems with Large Uncertainties, with Applications to Truss Structures
Linear systems whose coefficients have large uncertainties arise routinely in finite element calculations for structures with uncertain geometry, material properties, or loads. Ho...
Arnold Neumaier, Andrzej Pownuk
161
Voted
TSP
2011
230views more  TSP 2011»
14 years 10 months ago
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
—Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
250
Voted
DASFAA
2011
IEEE
525views Database» more  DASFAA 2011»
14 years 7 months ago
StreamFitter: A Real Time Linear Regression Analysis System for Continuous Data Streams
In this demo, we present the StreamFitter system for real-time regression analysis on continuous data streams. In order to perform regression on data streams, it is necessary to co...
Chandima H. Nadungodage, Yuni Xia, Fang Li, Jaehwa...