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A similarity matrix is obtained for a given set of documents or components by applying hybrid XNOR function.
For a given set of documents, Dtrain, our aim is to estimate the posterior distribution of those continuous random variables.
These dynamic resources are what we refer to as training resources for a given set of documents.
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In this research, we instigate a generalized approach for clustering a given set of documents or software components by defining a similarity function called hybrid XNOR function to find degree of similarity between two document sets or software components.
In this research, we instigate a new a generalized approach for clustering a given set of documents or text files or components by defining a new similarity function called hybrid XOR function for the purpose of finding degree of similarity between two document sets or software components.
Topic modelling algorithms reverse this assumed document creation process in order to infer topics and topic compositions that best explain a set of observed variables, here represented by the word occurrences in a given set of documents.
Decryption: The Decryption module that is located at the user's device provides the decryption functionality for a given set of encrypted documents.
We construct a matrix called similarity matrix of the order n-1 by n for a given set of n documents or components or patterns by applying hybrid XOR function.
Also a goodness measure of a search engine for a given set of queries can be designed which is a function of the coverage of the search engine and the normalized age of a new document in result set for the query.
It is common that online users usually take interest in looking for documents that comprise of a given set of keywords.
At its simplest, the total number of occurrences of a given set of words can be computed for each document and treated as a score – for example, counting the number of adjectives in a document to measure its 'colorfulness'colorfulness
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com