Sentence examples for relevance information from inspiring English sources

Exact(10)

The use of relevance information is best exemplified by the filtering process involved in the algorithm developed for reasoning within context.

The concept of strong collapse that is keeping relevance information about all of the nodes in the simplicial complex is used to reduce the big data.

An added benefit is that it allows search services to collect valuable relevance information about the results shown to the user.

The strong collapse is also useful for parallel and distributed computations, but the increasing computational complexities of maintaining relevance information of all of the nodes in complex prove to be the bottleneck.

As inspired by [15], the presence of multi-level relevance information and hierarchical grouping of vessels may allow exploitation of MARVEL dataset for a further performance improvement for particular marine vessel recognition tasks in the future.

For efficient search of answer trees on the large graph databases, we design an inverted list index to pre-compute and store connectivity and relevance information of nodes to keyword terms in the graph.

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Similar(50)

We also compare our mRMR-ReliefF selection algorithm with other gene selection algorithms, including Max-Relevance, Information Gain, Sum Minority, Twoing Rule, F-statistic [ 23], and GSNR [ 24].

In this part, we introduce six other gene selection algorithms which are mentioned in the chapter of "Result and discussion", which are named Max-Relevance, Information Gain, Sum Minority, Twoing Rule, F-statistic [ 23], and GSNR [ 24].

To know the relevance of information we have found, we need information about sources of the obtained information and their credibility.

According to the Elaboration Likelihood Model and confirmed by findings from neuropsychological research, increased personal relevance of information enhances central processing [ 12] and information retrieval [ 13, 14].

The proposed method is semi-supervised since it not only uses the supervised relevance feedback information but also exploits the unlabeled data.

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