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- Markovian_discrimination abstract "Markovian discrimination in spam filtering is a method used in CRM114 and other spam filters to model the statistical behaviors of spam and nonspam more accurately than in simple Bayesian methods. A simple Bayesian model of written text contains only the dictionary of legal words and their relative probabilities. A Markovian model adds the relative transition probabilities that given one word, predict what the next word will be. It is based on the theory of Markov chains by Andrey Markov, hence the name. In essence, a Bayesian filter works on single words alone, while a Markovian filter works on phrases or entire sentences.There are two types of Markov models; the visible Markov model, and the hidden Markov model or HMM.The difference is that with a visible Markov model, the current word is considered to contain the entire state of the language model, while a hidden Markov model hides the state and presumes only that the current word is probabilistically related to the actual internal state of the language.For example, in a visible Markov model the word "the" should predict with accuracy the following word, while ina hidden Markov model, the entire prior text implies the actual state and predicts the following words, but doesnot actually guarantee that state or prediction. Since the latter case is what's encountered in spam filtering,hidden Markov models are almost always used. In particular, because of storage limitations, the specific typeof hidden Markov model called a Markov random field is particularly applicable, usually with a clique size ofbetween four and six tokens.".
- Markovian_discrimination wikiPageID "3517732".
- Markovian_discrimination wikiPageRevisionID "544240988".
- Markovian_discrimination hasPhotoCollection Markovian_discrimination.
- Markovian_discrimination subject Category:Markov_models.
- Markovian_discrimination subject Category:Spam_filtering.
- Markovian_discrimination subject Category:Statistical_natural_language_processing.
- Markovian_discrimination type Assistant109815790.
- Markovian_discrimination type CausalAgent100007347.
- Markovian_discrimination type LivingThing100004258.
- Markovian_discrimination type MarkovModels.
- Markovian_discrimination type Model110324560.
- Markovian_discrimination type Object100002684.
- Markovian_discrimination type Organism100004475.
- Markovian_discrimination type Person100007846.
- Markovian_discrimination type PhysicalEntity100001930.
- Markovian_discrimination type Whole100003553.
- Markovian_discrimination type Worker109632518.
- Markovian_discrimination type YagoLegalActor.
- Markovian_discrimination type YagoLegalActorGeo.
- Markovian_discrimination comment "Markovian discrimination in spam filtering is a method used in CRM114 and other spam filters to model the statistical behaviors of spam and nonspam more accurately than in simple Bayesian methods. A simple Bayesian model of written text contains only the dictionary of legal words and their relative probabilities. A Markovian model adds the relative transition probabilities that given one word, predict what the next word will be.".
- Markovian_discrimination label "Markovian discrimination".
- Markovian_discrimination label "Markow-Filter".
- Markovian_discrimination sameAs Markow-Filter.
- Markovian_discrimination sameAs m.09hytl.
- Markovian_discrimination sameAs Q1900905.
- Markovian_discrimination sameAs Q1900905.
- Markovian_discrimination sameAs Markovian_discrimination.
- Markovian_discrimination wasDerivedFrom Markovian_discrimination?oldid=544240988.
- Markovian_discrimination isPrimaryTopicOf Markovian_discrimination.