Sentence examples similar to retrieving the term from inspiring English sources

Step 3. Retrieving the term-vector for the personomy: The recovery of the user term-vector from the TBS is carried out in the same way as the retrieval of the folksonomy term-vector, but now the frequency of the terms is accounted only for the current user.

She does not want to inadvertently retrieve the term 'germplasm' from a different vocabulary.

By a different use of relevance feedback (the order in which the relevant documents are retrieved, the terms of the relevant documents, and the terms of the irrelevant documents) in the design of fitness function, and by introducing three different genetic operators, we have developed a new genetic algorithm-based query optimization method on relevance feedback for Web information retrieval.

Given w and a controlled vocabulary, enrichment analysis aims to retrieve the terms that by statistical inference best describe w, that is, the terms associated with entities with atypical values.

Step 2. Retrieving terms from the folksonomy: There are two approaches to retrieving the folksonomy term-vector referent to a Web resource.

To develop this debate article, a current specialized literature review was achieved by searching and retrieving the key terms from two major databases: PubMed and PsycINFO.

Gene ontology mapping was performed on differentially expressed tags by retrieving the GO terms [ 28] associated with all significant BlastX hits (E value < 10-10) of each tag-matching DNA against the Swiss-Prot protein database.

So, while retrieving the middle terms that lie along these reasoning pathways is a simpler computational task than searching for an endpoint such as lovastatin, the presentation of such pathways and the excerpts that support them in a manner conducive to human review presents further challenges we are attempting to address in our ongoing work.

For the GO term prediction subtask, we developed an information retrieval-based method to retrieve the GO term most relevant to each evidence sentence using a ranking function that combined cosine similarity and the frequency of GO terms in documents, and a filtering method based on high-level GO classes.

After retrieving the associated GO terms, the possible functions of unigenes were predicted against eukaryotic Orthologous Group KOGG) database.

In Task B, we developed an IR-based method to retrieve the GO term most relevant to each evidence sentence using a ranking function that combined cosine similarity and the frequency of GO terms in documents.