Lesson plan
Bayesian classifier
In computer science and statistics, Bayesian classifier may refer to: * any classifier based on Bayesian probability * a Bayes classifier, one that always chooses the class of highest posterior probability ** in case this posterior distribution is modelled by assuming the observables are independent, it is a naive Bayes classifier
Article summary
In computer science and statistics, Bayesian classifier may refer to: * any classifier based on Bayesian probability * a Bayes classifier, one that always chooses the class of highest posterior probability ** in case this posterior distribution is modelled by assuming the observables are independent, it is a naive Bayes classifier
Key claims
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Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
Bibliography
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Key claims and bibliography are generated from the same tracked claims and sources as the article page.