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IJCNN
2000
IEEE
14 years 1 months ago
On MCMC Sampling in Bayesian MLP Neural Networks
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
Aki Vehtari, Simo Särkkä, Jouko Lampinen
VLSID
2002
IEEE
94views VLSI» more  VLSID 2002»
14 years 9 months ago
Timing Yield Calculation Using an Impulse-Train Approach
This paper presents a new method to compute the probability distribution of the delay of a combinational circuit and uses it obtain an estimate of the yield of the process that ma...
Srinath R. Naidu
DAC
2005
ACM
13 years 10 months ago
Power grid simulation via efficient sampling-based sensitivity analysis and hierarchical symbolic relaxation
On-chip supply networks are playing an increasingly important role for modern nanometer-scale designs. However, the ever growing sizes of power grids make the analysis problem ext...
Peng Li
WSCG
2003
170views more  WSCG 2003»
13 years 10 months ago
Experimental System for Visualization of the Light Load
This paper presents our work on an experimental system for visualization of the light load. The light load is thought as the total amount of light radiation received by all areas ...
Martin Cadík, Pavel Slavík, Jan Prik...
DAC
2011
ACM
12 years 8 months ago
Fast non-monte-carlo transient noise analysis for high-precision analog/RF circuits by stochastic orthogonal polynomials
Stochastic device noise has become a significant challenge for high-precision analog/RF circuits, and it is particularly difficult to correctly include both white noise and flic...
Fang Gong, Hao Yu, Lei He