515 search results - page 13 / 103 » Approximating Markov Processes by Averaging |
NA
2007
13 years 7 months ago
2007
Abstract. OPED is a new image reconstruction algorithm based on orthogonal polynomial expansion on the disk. We show that the integral of the approximation function in OPED can be ...
SIGMETRICS
2000
ACM
13 years 11 months ago
2000
ACM
We present a new approximation algorithm based on an exact representation of the state space S, using decision diagrams, and of the transition rate matrix R, using Kronecker algeb...
ICA
2012
Springer
12 years 3 months ago
2012
Springer
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times ...
QEST
2006
IEEE
14 years 1 months ago
2006
IEEE
We consider discrete infinite-state Markov chains which contain an eager finite attractor. A finite attractor is a finite subset of states that is eventually reached with prob...
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...