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» McPOWER: a Monte Carlo approach to power estimation
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LSSC
2001
Springer
15 years 10 months ago
A Quasi-Monte Carlo Method for Integration with Improved Convergence
Abstract. Quasi-Monte Carlo methods are based on the idea that random Monte Carlo techniques can often be improved by replacing the underlying source of random numbers with a more ...
Aneta Karaivanova, Ivan Dimov, Sofiya Ivanovska
179
Voted
ICML
2008
IEEE
16 years 6 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih
ISQED
2009
IEEE
91views Hardware» more  ISQED 2009»
16 years 27 days ago
Variability-aware optimization of nano-CMOS Active Pixel Sensors using design and analysis of Monte Carlo experiments
We propose a novel design flow for mismatch and processvariation aware optimization of nanoscale CMOS Active Pixel Sensor (APS) arrays. As a case study, an 8 × 8 APS array is de...
Dhruva Ghai, Saraju P. Mohanty, Elias Kougianos
173
Voted
DATE
2010
IEEE
171views Hardware» more  DATE 2010»
15 years 11 months ago
Statistical static timing analysis using Markov chain Monte Carlo
—We present a new technique for statistical static timing analysis (SSTA) based on Markov chain Monte Carlo (MCMC), that allows fast and accurate estimation of the right-hand tai...
Yashodhan Kanoria, Subhasish Mitra, Andrea Montana...
JMLR
2010
184views more  JMLR 2010»
15 years 26 days ago
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Yener Ülker, Bilge Günsel, Ali Taylan Ce...