41 search results - page 8 / 9 » Modeling Sub-90nm On-Chip Variation Using Monte Carlo Method... |
UAI
2004
13 years 8 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
ASPDAC
2006
ACM
14 years 1 months ago
2006
ACM
As technology scales down, timing verification of digital integrated circuits becomes an increasingly challenging task due to the gate and wire variability. Therefore, statistical...
DAC
2005
ACM
14 years 8 months ago
2005
ACM
We present an efficient optimization scheme for gate sizing in the presence of process variations. Using a posynomial delay model, the delay constraints are modified to incorporat...
UAI
2001
13 years 8 months ago
2001
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
BMCBI
2005
13 years 7 months ago
2005
Background: Coalescent simulations are playing a large role in interpreting large scale intraspecific sequence or polymorphism surveys and for planning and evaluating association ...