Sciweavers

566 search results - page 13 / 114
» Nonlinear Predictive Control with a Gaussian Process Model
Sort
View
AUSAI
2008
Springer
15 years 1 months ago
Using Gaussian Processes to Optimize Expensive Functions
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...
Marcus R. Frean, Phillip Boyle
VLSID
2007
IEEE
149views VLSI» more  VLSID 2007»
16 years 2 days ago
Efficient and Accurate Statistical Timing Analysis for Non-Linear Non-Gaussian Variability With Incremental Attributes
Title of thesis: EFFICIENT AND ACCURATE STATISTICAL TIMING ANALYSIS FOR NON-LINEAR NON-GAUSSIAN VARIABILITY WITH INCREMENTAL ATTRIBUTES Ashish Dobhal, Master of Science, 2006 Thes...
Ashish Dobhal, Vishal Khandelwal, Ankur Srivastava
TEC
2010
129views more  TEC 2010»
14 years 6 months ago
Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model
In some expensive multiobjective optimization problems, several function evaluations can be carried out at one time. Therefore, it is very desirable to develop methods which can g...
Qingfu Zhang, Wudong Liu, Edward P. K. Tsang, Boto...
BC
2002
91views more  BC 2002»
14 years 11 months ago
Linear combinations of nonlinear models for predicting human-machine interface forces
ACT This study presents a computational framework that capitalizes on known human neuromechanical characteristics during limb movements in order to predict man-machine interactions...
James L. Patton, Ferdinando A. Mussa-Ivaldi
DAC
2005
ACM
15 years 1 months ago
Parameterized block-based statistical timing analysis with non-gaussian parameters, nonlinear delay functions
Variability of process parameters makes prediction of digital circuit timing characteristics an important and challenging problem in modern chip design. Recently, statistical stat...
Hongliang Chang, Vladimir Zolotov, Sambasivan Nara...