Sentence examples for by the inference algorithm from inspiring English sources

Edges are called significant if they are selected by the inference algorithm.

For the T-cell time series dataset, a total of 161,558 networks were discovered by the inference algorithm [43].

One is the weights of the edges given by the inference algorithm, which can be calculated from the conditional probability table (CPT) parameters of the predicted networks in the DBN framework.

89 of the 154 interactions in the prior model conform to the experimental data, and therefore, are accepted in the majority of the model solutions by the inference algorithm and included in the average model.

Therefore, the number of prior network connections within the inferred network should not be considered as a strict measure of the accuracy of the algorithm, instead it is a relative indication of the information provided within the experimental data that is consistent with the prior network, while taking into account the trade-off of generalization versus over-fitting by the inference algorithm.

By applying the inference algorithm to the DPR networks of 13 selected species, we find that prokaryotes and eukaryotes share dominant evolutionary mechanisms in the early stage but diverge substantially along each clade.

Open image in new window Fig. 4 Pseudocode of the inference algorithm used by BNGA.

For E. coli all available microarray experiments in the Stanford Microarray Database (SMD, see http://genome-www5.stanford.edu) were incorporated in the inference algorithm, except by experiments that increased the number of false positives (see Assessing Inference Success below); 107 experiments were selected in total from SMD.

The inference algorithm consists in calculating the mean conditional entropy by using Equation 6 and looking for a group of genes that minimizes it.

A detailed example of the inference algorithm is presented below.

Extensions to context-free grammars can be designed by modifying the inference algorithms at the expense of the computational complexity of the final models.