37 search results - page 7 / 8 » Markov Chain Monte Carlo Combined with Deterministic Methods... |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
BMCBI
2011
12 years 12 months ago
2011
Background: Molecular database search tools need statistical models to assess the significance for the resulting hits. In the classical approach one asks the question how probable...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
AAAI
2007
13 years 7 months ago
2007
In this paper, we consider a hybrid solution to the sensor network position inference problem, which combines a real-time filtering system with information from a more expensive,...