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ANOR
2004
116views more  ANOR 2004»
13 years 7 months ago
Approximations and Randomization to Boost CSP Techniques
Abstract. In recent years we have seen an increasing interest in combining constraint satisfaction problem (CSP) formulations and linear programming (LP) based techniques for solvi...
Carla P. Gomes, David B. Shmoys
SIAMCOMP
1998
118views more  SIAMCOMP 1998»
13 years 7 months ago
Genericity, Randomness, and Polynomial-Time Approximations
Polynomial-time safe and unsafe approximations for intractable sets were introduced by Meyer and Paterson [Technical Report TM-126, Laboratory for Computer Science, MIT, Cambridge,...
Yongge Wang
FPL
2006
Springer
147views Hardware» more  FPL 2006»
13 years 11 months ago
Non-Uniform Random Number Generation Through Piecewise Linear Approximations
This paper presents a hardware architecture for non-uniform random number generation, which allows the generator's distribution to be modified at run-time without reconfigura...
David B. Thomas, Wayne Luk
CORR
2008
Springer
143views Education» more  CORR 2008»
13 years 7 months ago
Locally computable approximations for spectral clustering and absorption times of random walks
We address the problem of determining a natural local neighbourhood or "cluster" associated to a given seed vertex in an undirected graph. We formulate the task in terms...
Pekka Orponen, Satu Elisa Schaeffer, Vanesa Avalos...
TIP
2008
133views more  TIP 2008»
13 years 7 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky