Next, we incorporate structural information description for patterns by considering decomposition of patterns into subareas and considering their feature histograms and their combinations by vectors and similarity measure for retrieval.
Swet proposed that an ideal measure for retrieval should be a single number (26, 38).
Thus, a format for representing cases of SPC and the similarity measures for case retrieval are proposed in this paper.
The potential utility of these measures for information retrieval research is positioned within a broader discussion of distinctions between instant utility and remembered utility and their relationship to immediate as opposed to retrospective subjective evaluations.
We report on the official TREC evaluation metrics, including Mean Average Precision (MAP) [7] on disk1&2, disk4&5, WT10G, and GOV2, and nDCG@20 [7] on ClueWeb09 B. We use the official TREC evaluation metrics as we trust the TREC organizers to pick the appropriate measures for different retrieval tasks.
For evaluation measurement, we used precision rate, recall rate, and -measure, which are general measurements for retrieval tasks, as shown in the following equations: (3).
This kernel was successfully used as a similarity measure for image retrieval and recognition tasks [38, 39].
Following Gibbons and Stahl (2008), we applied the lateralized readiness potential (LRP) as a measure for the retrieval of compatible or incompatible motor activation from the prime.
Applied to text from hospital discharge summaries, CaRE achieved an F-measure above 90% for retrieval of relevant medical concepts [ 13].
If an ontology, or axioms in an ontology, are intended for retrieval, measures that compare the inferences to a gold standard can be applied to demonstrate the success of the ontology.
