193 search results - page 7 / 39 » Approximate parameter inference in a stochastic reaction-dif... |
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 ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Estimation of the amounts of target molecules in realtime affinity-based biosensors is studied. The problem is mapped to inferring the parameters of a temporally sampled diffusio...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
UAI
2001
13 years 8 months ago
2001
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The purpose of this paper is to develop parameter transformation strategies that improve the accuracy of the Variational Bayes (VB) approximation. The idea is to find a transform...