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ICCAD
2008
IEEE
125views Hardware» more  ICCAD 2008»
14 years 5 months ago
Practical, fast Monte Carlo statistical static timing analysis: why and how
Statistical static timing analysis (SSTA) has emerged as an essential tool for nanoscale designs. Monte Carlo methods are universally employed to validate the accuracy of the appr...
Amith Singhee, Sonia Singhal, Rob A. Rutenbar
ICDE
2011
IEEE
207views Database» more  ICDE 2011»
13 years 20 days ago
Monte Carlo query processing of uncertain multidimensional array data
— Array database systems are architected for scientific and engineering applications. In these applications, the value of a cell is often imprecise and uncertain. There are at le...
Tingjian Ge, David Grabiner, Stanley B. Zdonik
NIPS
2007
13 years 10 months ago
Markov Chain Monte Carlo with People
Many formal models of cognition implicitly use subjective probability distributions to capture the assumptions of human learners. Most applications of these models determine these...
Adam Sanborn, Thomas L. Griffiths
AAAI
2004
13 years 10 months ago
Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...
Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan...
WSC
1998
13 years 10 months ago
Average Performance of Quasi Monte Carlo Methods for Global Optimization
In this paper we compare the average performance of one class of low-discrepancy quasi-Monte Carlo sequences for global optimization. Weiner measure is assumed as the probability ...
Hisham A. Al-Mharmah