403 search results - page 53 / 81 » Sampling Bounds for Stochastic Optimization |
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
CDC
2009
IEEE
14 years 1 months ago
2009
IEEE
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
PROCEDIA
2010
13 years 8 months ago
2010
We propose a nonequilibrium sampling method for computing free energy profiles along a given reaction coordinate. The method consists of two parts: a controlled Langevin sampler ...
ICCAD
2009
IEEE
13 years 7 months ago
2009
IEEE
With increasing process variation, binning has become an important technique to improve the values of fabricated chips, especially in high performance microprocessors where transpa...
CPHYSICS
2006
13 years 10 months ago
2006
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...