bayesian filters造句

例句与造句

1. Bayesian filters ( often called Recursive Bayesian estimation ) are generic probabilistic models for time evolving processes.
2. Bayesian filters ( k = 0 ) have a very interesting recursive property, which contributes greatly to their attractiveness.
3. In essence, a Bayesian filter works on single words alone, while a Markovian filter works on phrases or entire sentences.
4. When we process vandalism, do we add the reverted material to a Bayesian filter corpus that allows the bot to be even more effective and minimize false policies?
5. The random text serves to distract most spam filters, so they put it into your non-spam folder ( however Bayesian filters are usually immune to this ).
6. It's difficult to find bayesian filters in a sentence. 用bayesian filters造句挺难的
7. A Bayesian filter would mark the word " Nigeria " as a probable spam word, but would take into account other important words that usually indicate legitimate e-mail.
8. The recipient of the message can still read the changed words, but each of these words is met more rarely by the Bayesian filter, which hinders its learning process.
9. Many spam programs use Bayesian filters that learn as they go, so if the software has correctly identified a piece of junk mail that is similar to your message, yours may be inadvertently blocked.
10. They demonstrated that adding hammy words-words that are more likely to appear in ham ( non-spam email content ) than spam-was effective against a na飗e Bayesian filter, and enabled spam to slip through.
11. The most notable difference between a conventional Bayesian filter and the filter used by SpamBayes is that there are three classifications rather than two : spam, non-spam ( called " ham " in SpamBayes ), and unsure.
12. CIR-Q & A ( Undated )-- Techno questions answered : Why pre-recorded DVDs hold more than recordable formats; Bayesian filters, which use probability equations to find spam; powering USB keychain-style drives.
13. The Bayesian filters in my brain, or whatever they are, had quickly seelized that any message whose subject line included words embedded with punctuation marks or numerals, like " prescr1pti ( at ) n " or " Val ? ( u ) m, " was almost certainly spam.
14. The RC patrol can mark edits for a Bayesian filter to show what kind of changes are considered as " spamish " or " trollish " . . . in our case, " vandalism . " Then in the RC changes, have a percentage listing how much of a chance that the article was vandalised by the edit.