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We use a modified naive bayes extensively in a commercial application -- from what I understand it's extremely quick to classify, easy to modify/customize, and
by nobody_nowhere 16y ago
We use a modified naive bayes extensively in a commercial application -- from what I understand it's extremely quick to classify, easy to modify/customize, and deals very well with gaps in data. For a lot of applications, things like SVM and WAODE are only minor incremental improvements.
- _delirium 16y agoPartly this is because naive Bayes's unreasonable independence assumptions (which are almost always badly violated) turn out not to actually hurt classification performance in a lot of cases, even in theory, because under a lot of distributions the independence violations basically cancel out: http://www.aaai.org/Papers/FLAIRS/2004/Flairs04-097.pdf http://www.aaai.org/Papers/FLAIRS/2004/Flairs04-097.pdf