Sentence examples for query item from inspiring English sources

With this achievement, web pages could be employed as a query item to find other, similar web pages by taking into consideration that they are web pages, instead of images or anything else.

Second, we take the next FV of the query item and continue similarly with all the query item FVs.

Finally, before moving to the next database item, we take the sum of all the obtained minimum distances to obtain a single distance value between the queried item and the database item (which is used to rank that query item).

However, neither option would be computationally feasible for large databases, as they both require conducting a separate batch query (i.e., selecting each item in the database as a query item one by one, performing a separate query for each of them, and finally taking the mean of the obtained retrieval results) for every fitness evaluation during the synthesis process.

In our approach, we first compute (using Euclidean distance) the distances between the first FV of a query item and all the FVs of a particular database item from which we take the minimum distance (normalized by the vector length) and store it.

cTotal annotated query item number in agriGO.

This is due to the fact that query items located at the outskirt of their own classes may be actually situated in closer proximity to some other FV located on the outskirt of its corresponding (wrong) class.

The query items focused on the appearance of any additional symptoms, the administration of any additional medical treatment, re-hospitalization, and outcome.

Motivation: Subgraph extraction is a powerful technique to predict pathways from biological networks and a set of query items (e.g. genes, proteins, compounds, etc).

Subgraph extraction can be used to predict a meaningful pathway given a biological network (e.g. protein protein interaction or metabolic network) and a set of query items (e.g. genes, proteins and compounds) defining seed nodes in the network (van Helden et al., 2000).

Traditionally in content-based classification and retrieval scheme, specific similarity measures, such as Euclidean distance, are applied to measure the distances between the FVs of a classified (or queried) item and each item belonging to the database.