Sentence examples for closeness matrix from inspiring English sources

After the new closeness matrix is generated, we can continue integrating T1,2 and T3 into T1,2,3 and generating another new closeness matrix.

First, how can we efficiently generate a closeness matrix for every pair of ontologies to be integrated?

However, we can still use these algorithms for integrating multiple ontologies, by iteratively integrating two ontologies and generating a new closeness matrix.

For example, a closeness matrix between two sets of biomedical terms can be generated by using UMLS knowledge discovery methods such as kDLS [ 7].

As mentioned above, these scores are from the closeness matrix generated by onG rid based on the discovered paths between them.

In the paper entitled "Building Integrated Ontological Knowledge Structures with Efficient Approximation Algorithms," Y. Xiang and S. C. Janga tackled a basic problem on integrating a pair of ontology tree structures with a given closeness matrix.

Each integration will take O(nlog n) with an update of at most k closeness matrices which takes O k∗n).

The closeness matrices between GO terms and drug terms were generated using onG rid [ 27] with a 4-neighborhood broadcast range (i.e., k = 4 with regard to [ 7]). onG rid follows the kDLS approach [ 7] and measures the closeness between two concepts based on the discovered paths (with length greater than one) between them.

So, speeds and path travel times add information to the adjustment process in order to reach a dynamic demand matrix closeness to the real one; however, their effects do not seem to be additive.

Then, a class of total Bregman divergences are presented to measure the closeness between HPD matrices.

Closeness centrality used distance matrix D, which is defined as a |V| × |V| matrix with each entry of D i,j equal to the length of the shortest path between farmers i and j in the farmers' peer advice network data.