604 search results - page 35 / 121 » Bayesian inference on biopolymer models |
FLAIRS
2009
13 years 6 months ago
2009
This paper introduces an information theoretic approach to verification of modular causal probabilistic models. We assume systems which are gradually extended by adding new functi...
AMAI
2004
Springer
14 years 2 months ago
2004
Springer
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
This paper investigates the use of the Bayesian inference for devising an unsupervised sketch rendering procedure. As likelihood model of this inference, we exploit the recent sta...
UAI
1998
13 years 10 months ago
1998
There is evidence that the numbers in probabilistic inference don't really matter. This paper considers the idea that we can make a probabilistic model simpler by making fewe...
BMCBI
2010
13 years 9 months ago
2010
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...