Difference between revisions of "Smoothing"
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Revision as of 22:40, 30 March 2011
From Wikipedia:
In statistical language modeling, in a bag of words model for example, the data consists of the number of occurrences of each word in a document. Smoothing allows the assignment of non-zero probabilities to words which do not occur in the sample. From a Bayesian point of view, this corresponds to the expected value of the posterior distribution of words, using a Dirichlet distribution with parameter α as a prior.
