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...

such as the extended Kalman filter and the unscented Kalman filter which work on nonlinear systems. The basis is a hidden Markov model such that the state...

variable-order Markov (VOM) models are an important class of models that extend the well known Markov chain models. In contrast to the Markov chain models...

Markovian discrimination is a class of spam filtering methods used in CRM114 and other spam filters to filter based on statistical patterns of transition...

probability Bayesian spam filtering Belief propagation Cox's theorem Expectation-maximization algorithm Factor graph Graphical model Hidden Markov model Judea...

Anti-Spam SMTP Proxy (ASSP) is an open-source, Perl based, platform-independent transparent SMTP proxy server. Some ASSP's features are: Hidden Markov Model...

statistical approach for classifying data, and especially used for filtering email spam. The name comes from the CRM-114 Discriminator in the Stanley Kubrick...

search theory – Method for finding lost objects Bayesian spam filtering – Technique for filtering spam e-mailPages displaying short descriptions of redirect...

malicious reasons, such as the Bayesian poisoning used to counter Bayesian spam filters by using a string of words which have a high probability of being collocated...

solution to the filter feature selection problem is the Markov blanket of the target node, and in a Bayesian Network, there is a unique Markov Blanket for...