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ML
2007
ACM
106views Machine Learning» more  ML 2007»
15 years 1 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
104
Voted
IPPS
2010
IEEE
14 years 11 months ago
Oblivious algorithms for multicores and network of processors
We address the design of algorithms for multicores that are oblivious to machine parameters. We propose HM, a multicore model consisting of a parallel shared-memory machine with hi...
Rezaul Alam Chowdhury, Francesco Silvestri, Brando...
SPAA
2009
ACM
16 years 2 months ago
An optimal local approximation algorithm for max-min linear programs
In a max-min LP, the objective is to maximise subject to Ax 1, Cx 1, and x 0 for nonnegative matrices A and C. We present a local algorithm (constant-time distributed algorith...
Patrik Floréen, Joel Kaasinen, Petteri Kask...
STOC
2005
ACM
158views Algorithms» more  STOC 2005»
16 years 1 months ago
Polynomial time quantum algorithm for the computation of the unit group of a number field
We present a quantum algorithm for the computation of the irrational period lattice of a function on Zn which is periodic in a relaxed sense. This algorithm is applied to compute t...
Arthur Schmidt, Ulrich Vollmer
STOC
2004
ACM
102views Algorithms» more  STOC 2004»
16 years 1 months ago
A simple polynomial-time rescaling algorithm for solving linear programs
The perceptron algorithm, developed mainly in the machine learning literature, is a simple greedy method for finding a feasible solution to a linear program (alternatively, for le...
John Dunagan, Santosh Vempala
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