454 search results - page 28 / 91 » On the approximation error in high dimensional model represe... |
CORR
2006
Springer
13 years 9 months ago
2006
Springer
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc. can be processed more e...
JMLR
2006
2006
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
13 years 9 months ago
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
DAC
2007
ACM
14 years 10 months ago
2007
ACM
The number and magnitude of process variation sources are increasing as we scale further into the nano regime. Today's most successful response surface methods limit us to lo...
IJON
2007
13 years 9 months ago
2007
In this paper, a ridgelet kernel regression model is proposed for approximation of high dimensional functions. It is based on ridgelet theory, kernel and regularization technology ...
DATE
2006
IEEE
14 years 3 months ago
2006
IEEE
Abstract— Continuing scaling of CMOS technology has allowed aggressive pursuant of increased clock rate in DSM chips. The ever shorter clock period has made switching times of di...