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233
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JMLR
2012
13 years 9 months ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
180
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ASPDAC
2007
ACM
15 years 10 months ago
2007
ACM
Due to the extremely large sizes of power grids, IR drop analysis has become a computationally challenging problem both in terms of runtime and memory usage. It has been shown in [...
161
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PR
2008
15 years 6 months ago
2008
Clustering in gene expression data sets is a challenging problem. Different algorithms for clustering of genes have been proposed. However due to the large number of genes only a ...
183
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CISS
2008
IEEE
16 years 1 months ago
2008
IEEE
—In this paper, we study the problem of utility maximization in Peer-to-Peer (P2P) systems, in which aggregate utilities are maximized by running distributed algorithms on P2P no...
231
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DICTA
2008
15 years 8 months ago
2008
An iterative algorithm for the reconstruction of natural images given only their contrast map is presented. The solution is neuro-physiologically inspired, where the retinal cells...