Co-occurrence used in a sentence

Co-occurrence in a sentence as a noun

They're not promising not to create co-occurrence matrices with a specific unknown user as far as I can see.

In that sense, ML, statistical, or "deep learning" models perform a bit like us. Not surprisingly, since co-occurrence plays a large role in our fast intuitions.

The co-occurrence of terms like "beautiful", "happiness", and "art" in discussions of what ruby means are far higher than in other languages.

That is a trivial example - it easily pops out of the data with a pure freq co-occurrence measurement BUT as I said freq is only a starting point.

SVD has been used for dimensionality reduction of co-occurrence matrices for ages [1], but the resulting word embeddings aren't as performant as those of word2vec/etc.

Due to frequent co-occurrence of certain phenomena it is possible that a single individual may be affected by more than one of the factors presented.

I'm pretty sure his entire point in the Philosophical Investigations was that "meaning" is exactly NOT probabilities of symbol co-occurrence, or just names of objects in the world.

I'm extremely intrigued by the co-occurrence within a span of 3-4 sentences of> Selling power back to the grid is a rapidly growing home industry which, like any other, should be taxed and regulated.

I'd be worried about the co-occurrence of me arranging to go out and get drunk for the evening, granny wanting to watch an important episode of coronation street on BBC iplayer and adobe releasing another broken flash update.

While we have not addressed autism and GJH comorbidity rates in this study, their co-occurrence in the adult ASD female population suggests links between the dysfunction of connective tissue and the immune and endocrine systems in this subpopulation.

Keep it factual: list of a reporter’s previous articles and institutions; other affiliations; topics they have covered repeatedly; stakeholders/owners of the institutions; co-occurrence of the same phrases in contemporary articles by other reporters; timing of articles compared with others on the same story; etc.

The contribution of the paper is to show how the kind of good results word2vec gets with online learning on a token stream can be achieved also by working from a global co-occurrence count matrix, more in the style of the traditional SVD, but changing the loss function and frequency scaling, and that you could expect working in this way to be somewhat more statistically efficient.