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ARC
2009
Springer
188views Hardware» more  ARC 2009»
14 years 2 months ago
Word-Length Optimization and Error Analysis of a Multivariate Gaussian Random Number Generator
Abstract. Monte Carlo simulation is one of the most widely used techniques for computationally intensive simulations in mathematical analysis and modeling. A multivariate Gaussian ...
Chalermpol Saiprasert, Christos-Savvas Bouganis, G...
AAAI
2008
13 years 9 months ago
A General Framework for Generating Multivariate Explanations in Bayesian Networks
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...
Changhe Yuan, Tsai-Ching Lu
IMA
2005
Springer
71views Cryptology» more  IMA 2005»
14 years 1 months ago
Concrete Security of the Blum-Blum-Shub Pseudorandom Generator
Abstract. The asymptotic security of the Blum-Blum-Shub (BBS) pseudorandom generator has been studied by Alexi et al. and Vazirani and Vazirani, who proved independently that O(log...
Andrey Sidorenko, Berry Schoenmakers
COCO
2005
Springer
123views Algorithms» more  COCO 2005»
14 years 1 months ago
If NP Languages are Hard on the Worst-Case Then It is Easy to Find Their Hard Instances
We prove that if NP ⊆ BPP, i.e., if SAT is worst-case hard, then for every probabilistic polynomial-time algorithm trying to decide SAT, there exists some polynomially samplable ...
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
CC
2007
Springer
121views System Software» more  CC 2007»
13 years 7 months ago
If NP Languages are Hard on the Worst-Case, Then it is Easy to Find Their Hard Instances
We prove that if NP ⊆ BPP, i.e., if SAT is worst-case hard, then for every probabilistic polynomial-time algorithm trying to decide SAT, there exists some polynomially samplable ...
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma