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posterior probability
noun
B ) as contrasted to P( A ), where A is the sought event and B is the sign or symptom event.
Exact(60)
Maurice goes astray and arrives at a spellbound castle, where he warms his posterior probability against an open hearth.
maximum a posterior probability.
Equation (1) represents posterior probability.
The posterior probability is computed as (19).
Numbers above the nodes show posterior probability.
It pursues the emulation of the posterior probability density.
During prediction, BA uses Bayesian posterior probability estimation.
The second value is posterior probability (>0.5) using Bayesian analyses.
The test point is classified by the maximum posterior probability.
Fig. 9 Final posterior probability distributions with soft evidence.
Fig. 8 Posterior probability distributions based on user demographic contexts.
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