Sentence examples for most probable setting from inspiring English sources

Gradient-based optimizers can be used to then determine the most probable setting of the hyperparameters (5) An important design choice for using a GP is a suitable covariance function.

For instance, in the results we made use of the following quantities: · Maximum a posteriori (MAP) network configuration: This is the most probable setting x ∗ MAP for the network links obtained by (5) x ∗ MAP = arg max x ∗ p (x ∗ | y ∗, Y ).

Given an inconsistent probability vector, the aim is to find the most probable set of GO assignments that do not violate TPR.

We performed a grid search to find the most probable set of parameters of the trajectory model.

Preemptive data distribution rely on analysis of historical access patterns to identify a set of rules whereby following a data-object request the most probable set of next requests can be inferred.

The most probable set of hyperparameters is obtained by minimizing the free energy, which is defined as the negative logarithm of the posterior possibility p(θ|V P,V S ).

The set of most probable states of the subspaces defines the most probable state of the system (e.g. the most probable set of side-chain conformations).

The most probable set of homologous proteins shared by R. etli and R. leguminosarum was identified using a reciprocal best-hit criterion.

Gene expression profiles were clustered with Cluster Analysis of Gene Expression Dynamics (CAGED version 1.1) program, which utilizes a Bayesian model-based clustering method on temporal gene expression data[25] and uses an agglomerative procedure to identify the most probable set of clusters, where genes assigned to certain clusters have similar temporal expression profiles.

The most probable set of orthologous TCS proteins shared by the four Azospirillum strains was identified based on a reciprocal best BLAST hit criterion, as previously described [ 15].

We also calculated the model selection probabilities on the basis of how many times a permissible model was selected in the bootstrap samples, looking for the most probable sets of variables.