Sentence examples for modeling the prior from inspiring English sources

In the paper we also evaluate how information about defect inflow distribution from historical projects is applied for modeling the prior beliefs/experience in Bayesian analysis which is useful for making software defect predictions early during the software project lifecycle.

Furthermore, we can consider an additional mass function to model the prior knowledge of cloud presence regardless of the sensor observation.

An analytical process damping algorithm is used to model the prior distribution of the stability boundary (between stable and unstable cutting conditions).

We can use a Gibbs Markov network (MN) to model the prior P(S) of the gene network.

GDL utilizes graph-based regularizers to model the prior networks and does not require an explicit clustering step.

We use a Bayesian network, structured according to the underlying ontology, to model the prior probability of a protein's function.

In our approach, we propose to model the priors with the Gibbs distribution, which is particularly useful for enforcing local smoothness in images.

where denote the mixing weights, is the number of Gaussian mixing components for modeling the transition prior.

We use hierarchical Bayesian inversion with Gaussian Markov random process priors, and we model the prior parameters in the hyperprior.

The dictionary, ideally, models the prior of natural images and is therefore free from all kinds of distortions.

By using the linear sparse model, the prior information of the unknown fMRI image can be extracted from the previous fMRI image and the sparse variations.