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Laplacian Corrected Modified Naive Bayes

version 1.0.0 (2.45 KB) by Jan Motl
Fast linear classifier for nominal data

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Updated 19 Dec 2018

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Laplacian Corrected Modified Naive Bayes (LCMNB) can be described as a discriminative version of naive Bayes. Specifically, it calculates the m-probability estimate of p(y|x_i) for each feature x_i and then multiplies these estimates to get the class predictions. Note that the implementation is only for nominal features.

For the reasoning behind the algorithm see:
https://www.ncbi.nlm.nih.gov/pubmed/15317458

For a detailed description of the algorithm see:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3846418/

For a bit of theory behind the m-probability estimates see:
https://dl.acm.org/citation.cfm?id=507538

Cite As

Jan Motl (2020). Laplacian Corrected Modified Naive Bayes (https://www.mathworks.com/matlabcentral/fileexchange/69769-laplacian-corrected-modified-naive-bayes), MATLAB Central File Exchange. Retrieved .

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MATLAB Release Compatibility
Created with R2015a
Compatible with any release
Platform Compatibility
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