• WordNet 3.6
    • n co-occurrence the temporal property of two things happening at the same time "the interval determining the coincidence gate is adjustable"
    • n co-occurrence an event or situation that happens at the same time as or in connection with another
    • ***


In literature:

By C. G. WARNFORD LOCK, co-Author of 'Gold: its Occurrence and Extraction.
"Scamping Tricks and Odd Knowledge" by John Newman

In news:

Seeking and finding correlations — co-occurrences between two or more factors — is a key tool in the root cause analysis arsenal.
Co-clustering exploits co- occurrence information, from contingency tables to cluster both rows and columns simultaneously.
The word "occurrence," as used in an insurance policy, includes actions taken by an insured in legitimate self-defense, pursuant to Vermont Mutual Insurance Co.

In science:

The edges within this work are weighted by applying the number of co-occurrences of the vertices’ n-grams within the given window in the original documents.
MUDOS-NG: Multi-document Summaries Using N-gram Graphs (Tech Report)
In this work, the weight of the added edge is the number of co-occurrences of the corresponding vertices3 .
MUDOS-NG: Multi-document Summaries Using N-gram Graphs (Tech Report)
After the application of operators between graphs, the edge weights, e.g., of union graphs, may represent average co-occurrences, or other functions of co-occurrences, thus not being integer numbers.
MUDOS-NG: Multi-document Summaries Using N-gram Graphs (Tech Report)
Using co-occurrence of lexical chain members, our algorithm tries to build the bond between subject terms and the object terms in the text. With implicit segmentation, we tried to take advantage of lexical chains for text segmentation. It might be possible to use our algorithm as a text segmenter.
Automated Text Summarization Base on Lexicales Chain and graph Using of WordNet and Wikipedia Knowledge Base
The negative MI shows that the co-occurrence is too small.
Document summarization using positive pointwise mutual information
Filtering with this co-occurrence will in turn solve both problems as by increasing relevance to a particular event, general tweets that talk about several events will be filtered out thus diminishing the overlap, and in turn it will reduce the size of the dataset.
Losing My Revolution: How Many Resources Shared on Social Media Have Been Lost?
The update procedure for the SSMB is almost identical to the SBM but incorporates information about the class-role co-occurrence counts mc,k .
Supervised Blockmodelling
Automatic Evaluation of Summaries using N-gram Co-occurrence Statistics.
Sentence Compression in Spanish driven by Discourse Segmentation and Language Models
L be the matrix of class co-occurrences where Li j = 1 n if li = l j and zero otherwise.
Information Theoretic Learning with Infinitely Divisible Kernels
It is remarkable how a linear projection can separate the faces, and it can also be seen from the Gram matrix that it tries to approximate the co-occurrence matrix L.
Information Theoretic Learning with Infinitely Divisible Kernels
The co-occurrence table only stores scores for tf counts greater than 10 and mutinfo scores greater than 10.
Machine Learning of Generic and User-Focused Summarization
Figure 7: In the middle column, we show the three imagesegmentation maps computed in real-time by the Cyborg Astrobiologist system, based upon the original Hue, Saturation & Intensity (H , S & I ) mosaics in the left column and the derived 2D co-occurrence histograms shown in the right column.
Field geology with a wearable computer: 1st results of the Cyborg Astrobiologist System
We do not treat the image i as a variable in the model but view it as a co-occurrence of a user, a set of tags and a set of groups.
Personalizing Image Search Results on Flickr
Both models are probabilistic generative models that describe co-occurrences of users and items of interest.
Personalizing Image Search Results on Flickr
Positional net is related to the syntax and reflects the co-occurrence of words in a sentence.
Network model of human language