Laplacian Corrected Modified Naive Bayes

Versione 1.0.0 (2,45 KB) da Jan Motl
Fast linear classifier for nominal data
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Aggiornato 19 dic 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

Cita come

Jan Motl (2024). Laplacian Corrected Modified Naive Bayes (https://www.mathworks.com/matlabcentral/fileexchange/69769-laplacian-corrected-modified-naive-bayes), MATLAB Central File Exchange. Recuperato .

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Versione Pubblicato Note della release
1.0.0