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145
Voted
DATE
2008
IEEE
112views Hardware» more  DATE 2008»
15 years 10 months ago
Adaptive Simulation for Single-Electron Devices
Single-electron devices have drawn much attention in the last two decades. They have been widely used for device research and also show promise as a potential alternative to compl...
Nicholas Allec, Robert G. Knobel, Li Shang
100
Voted
DATE
2010
IEEE
119views Hardware» more  DATE 2010»
15 years 3 months ago
Practical Monte-Carlo based timing yield estimation of digital circuits
—The advanced sampling and variance reduction techniques as efficient alternatives to the slow crude-MC method have recently been adopted for the analysis of timing yield in dig...
Javid Jaffari, Mohab Anis
SIGSOFT
2007
ACM
16 years 4 months ago
State space exploration using feedback constraint generation and Monte-Carlo sampling
The systematic exploration of the space of all the behaviours of a software system forms the basis of numerous approaches to verification. However, existing approaches face many c...
Sriram Sankaranarayanan, Richard M. Chang, Guofei ...
ISBI
2008
IEEE
16 years 4 months ago
Monte Carlo assessment of time-of-flight benefits on the LYSO-based discovery RX PET/CT scanner
Time-Of-Flight (TOF) positron emission tomography (PET) was studied and preliminarily developed in the 80s, but the lack of a scintillator able to deliver proper time resolution a...
Parham Geramifar, Mohammad Reza Ay, Mojtaba Shamsa...
ML
2007
ACM
192views Machine Learning» more  ML 2007»
15 years 2 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang