70 search results - page 1 / 14 » Adaptive Importance Sampling Technique for Markov Chains Usi... |
IOR
2006
13 years 7 months ago
2006
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
TCBB
2010
13 years 2 months ago
2010
Markov chain Monte Carlo has been the standard technique for inferring the posterior distribution of genome rearrangement scenarios under a Bayesian approach. We present here a neg...
CDC
2009
IEEE
13 years 11 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...
FOCS
2000
IEEE
13 years 12 months ago
2000
IEEE
For many probability distributions of interest, it is quite difficult to obtain samples efficiently. Often, Markov chains are employed to obtain approximately random samples fro...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...