==Classification== In classification posterior probabilities reflect the uncertainty of assessing an observation to particular class, see also Class membership probabilities. While Statistical classification methods by definition generate posterior probabilities, Machine Learners usually supply membership values which do not induce any probabilist...
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http://en.wikipedia.org/wiki/Posterior_probability
(from the article `genetic disease, human`) ...for each alternative outcome by multiplying the prior probability by all conditional probabilities. By dividing the joint probability of each ...
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http://www.britannica.com/eb/a-z/p/100
The best rational assessment of the probability of an outcome on the basis of established knowledge modified and brought up to date. ... Compare: Bayes theorem. ... (05 Mar 2000) ...
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http://www.encyclo.co.uk/local/20973
The probability p1 of an event at the outset of an experiment might be modified to p2 in light of experimental evidence. The posterior probability p2 is usually determined by employing Bayes' Theorem.
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Type: Term Definitions: 1. the best rational assessment of the probability of an outcome on the basis of established knowledge modified and brought up to date.
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http://www.medilexicon.com/medicaldictionary.php?t=72144
No exact match found.
