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» Algorithms for Large, Sparse Network Alignment Problems
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IMC
2006
ACM
15 years 8 months ago
Shared-state sampling
We present an algorithm, Shared-State Sampling (S3 ), for the problem of detecting large flows in high-speed networks. While devised with different principles in mind, S3 turns ...
Frederic Raspall, Sebastià Sallent, Josep Y...
INFOCOM
2010
IEEE
15 years 27 days ago
Markov Approximation for Combinatorial Network Optimization
—Many important network design problems can be formulated as a combinatorial optimization problem. A large number of such problems, however, cannot readily be tackled by distribu...
Minghua Chen, Soung Chang Liew, Ziyu Shao, Caihong...
99
Voted
ISSAC
2007
Springer
106views Mathematics» more  ISSAC 2007»
15 years 8 months ago
Numerical techniques for computing the inertia of products of matrices of rational numbers
Consider a rational matrix, particularly one whose entries have large numerators and denominators, but which is presented as a product of very sparse matrices with relatively smal...
John P. May, B. David Saunders, David Harlan Wood
106
Voted
UAI
2004
15 years 3 months ago
Annealed MAP
Maximum a Posteriori assignment (MAP) is the problem of finding the most probable instantiation of a set of variables given the partial evidence on the other variables in a Bayesi...
Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
144
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MST
2002
169views more  MST 2002»
15 years 2 months ago
Bulk Synchronous Parallel Algorithms for the External Memory Model
Abstract. Blockwise access to data is a central theme in the design of efficient external memory (EM) algorithms. A second important issue, when more than one disk is present, is f...
Frank K. H. A. Dehne, Wolfgang Dittrich, David A. ...