Naive Bayes spam filtering - 위키피디아 영어

Naive Bayes classifiers are a popular statistical technique of e-mail filtering. They typically use bag-of-words features to identify email spam, an approach commonly used in text classification. Naive Bayes classifiers work by correlating the use of tokens (typically words, or sometimes o...

Bayesian poisoning - 위키피디아 영어

naïve Bayesian filter, and enabled spam to slip through. They went on to detail two active attacks (attacks that require feedback to the spammer) that were very effective against the spam...

Naive Bayes classifier - 위키피디아 영어

In statistics, naive Bayes classifiers are a family of linear "probabilistic classifiers" which assumes that the features are conditionally independent, given the target class. The strength (naivety) of this assumption is what gives the classifier its name. These classifiers are among the ...

Recursive Bayesian estimation - 위키피디아 영어

In probability theory, statistics, and machine learning, recursive Bayesian estimation , also known as a Bayes filter , is a general probabilistic approach for estimating an unknown probability density function (PDF) recursively over time using incoming measurements and a mathematical proc...

List of things named after Thomas Bayes - 위키피디아 영어

objects Bayesian spam filtering – Technique for filtering spam e-mail Bayesian statistics – Theory in the field of statistics Bayesian structural time series Bayesian support-vector...

Better Bayesian Filtering - Paul Graham

Case is preserved. Exclamation points are constituent characters. Periods and commas are constituents if they occur between two digits. This lets me get ip addresses and prices intact. A price range like $20-25 yields two tokens, $20 and $25. Tokens that occur within the To, From, Subject, and Return-Path lines, or within urls, get marked accordingly. E.g. ``foo'' in the Subject line becomes ``Subject*foo''. (The asterisk could be any character you don't allow as a constituent.)

Email spam - 위키피디아 영어

3 Defeating Bayesian filters 8.4 Spam-support services 9 Related vocabulary 10 History 11 See... These programs are not very accurate, and sometimes filter out innocent images of products...

GitHub - nWhovian/spam-classifier: Bayesian Classifier for filtering the spam me

Bayesian Classifier for filtering the spam messages implemented in Python. - nWhovian/spam-classifier

oop - Object Oriented Bayesian Spam Filtering? - Stack Overflow

I was wondering if there is any good and clean object-oriented programming (OOP) implementation of Bayesian filtering for spam and text classification? This is just for learning purposes.

bogofilter -- Fast Bayesian Spam Filter - Browse Files at SourceForge.net

Fast Bayesian spam filter along lines suggested by Paul Graham