537 search results - page 6 / 108 » On Using Monte Carlo Methods for Scheduling |
ICRA
2002
IEEE
14 years 14 days ago
2002
IEEE
In this paper, we describe a novel self-localizationalgorithm. Self-Localizationmethods are required for to lowercomputational costand handling vague sensordata. Thus, we propose ...
NIPS
2001
13 years 9 months ago
2001
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
MA
2010
Springer
13 years 6 months ago
2010
Springer
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
ISQED
2007
IEEE
14 years 1 months ago
2007
IEEE
Problems in computational finance share many of the characteristics that challenge us in statistical circuit analysis: high dimensionality, profound nonlinearity, stringent accura...
NAA
2000
Springer
13 years 11 months ago
2000
Springer
Abstract. Monte Carlo (MC) methods have proved to be flexible, robust and very useful techniques in computational finance. Several studies have investigated ways to achieve greater...