In this section we apply the Bayes rules derived above to a specific dataset to examine the impact of assuming different loss functions on the identification of hospitals with unacceptably high mortality.
For example, the decision of how to select the different techniques considering the characteristics of a specific dataset through of genetic algorithms could be considered a search-based problem for software engineering.
To be fair, when researches trained the AI on a specific dataset, like images of birds, it was able to produce convincing renderings of birds.
To find out what characteristics of the studied system (parameters of the model) could be revealed, given the model and a specific dataset, the standard procedure of singular value decomposition of Hessian matrix was used [ 29].
Separately, a more specific dataset of 39 human biologically important proteins, implicated in tumor-associated pathways, were used to study domain assignments.
If classification of a specific dataset yields low error rates (defined later), the objective of the odd-ball paradigm was considered to be fulfilled.
While the previous reviews of statistical methods used in health literature have focused on the analysis of articles indexed in specific journals or sets of journals, we investigated how a specific dataset was utilized in the reporting of statistical methods.
Methodologies that prioritise abstract theory may have a better claim to drawing universalisable conclusions than methods that tie an analysis to a specific dataset or a specific group of people.
Because the purpose of POBN is to evaluate a general regulatory network knowledge in the context of a specific dataset, we kept sigma70 as it was the only known entity associated with the transcription of these highly expressed group of genes.
