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UAI
2004
13 years 10 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
JCP
2007
148views more  JCP 2007»
13 years 9 months ago
P3ARM-t: Privacy-Preserving Protocol for Association Rule Mining with t Collusion Resistance
— The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets dis...
Iman Saleh, Mohamed Eltoweissy
SCCC
2005
IEEE
14 years 2 months ago
A geometric framework to visualize fuzzy-clustered data
— Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and Expectation Maximization, allow an object to be assigned to mult...
Yuanquan Zhang, Luis Rueda
LCN
1997
IEEE
14 years 1 months ago
The Optimal Virtual Path Design of ATM Networks
This paper studies the optimal configuration of virtual paths in ATM networks. A linear model that minimizes the mrximumjow density of links is proposed for the optimal virtual pa...
Zhigang Qin, Tetiana Lo, Felix F. Wu
PR
2006
84views more  PR 2006»
13 years 9 months ago
Geometric visualization of clusters obtained from fuzzy clustering algorithms
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
Luis Rueda, Yuanquan Zhang