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UAI
1997
15 years 3 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
SIGMETRICS
2010
ACM
152views Hardware» more  SIGMETRICS 2010»
15 years 10 days ago
A fluid approximation for large-scale service systems
We introduce and analyze a deterministic fluid model that serves as an approximation for the Gt/GI/st + GI manyserver queueing model, which has a general time-varying arrival pro...
Yunan Liu, Ward Whitt
CLUSTER
2001
IEEE
15 years 5 months ago
Approximation Algorithms for Data Distribution with Load Balancing of Web Servers
Given the increasing traffic on the World Wide Web (Web), it is difficult for a single popular Web server to handle the demand from its many clients. By clustering a group of Web ...
Li-Chuan Chen, Hyeong-Ah Choi
TNN
2010
148views Management» more  TNN 2010»
14 years 8 months ago
Generalized low-rank approximations of matrices revisited
Compared to Singular Value Decomposition (SVD), Generalized Low Rank Approximations of Matrices (GLRAM) can consume less computation time, obtain higher compression ratio, and yiel...
Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
GLOBECOM
2007
IEEE
15 years 8 months ago
Initialization Techniques for Improved Convergence of LMS DFEs in Strong Interference Environments
— The least-mean square (LMS) decision-feedback equalizer (DFE) was previously shown [1], [2] to possess an extended convergence time in an interference limited environment. In [...
Arun Batra, James R. Zeidler, Aloysius A. Beex