193 search results - page 31 / 39 » Approximate parameter inference in a stochastic reaction-dif... |
IJON
1998
13 years 7 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
KDD
2004
ACM
14 years 23 days ago
2004
ACM
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
AAAI
1990
13 years 8 months ago
1990
There are many planning applications that require an agent to coordinate its activities with processes that change continuously over time. Several proposals have been made for com...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper we present Poisson sum series representations for α-stable (αS) random variables and α-stable processes, in particular concentrating on continuous-time autoregres...
NN
1997
Springer
13 years 11 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...