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To make the assignment decision the probability to assign a sample to a given class should be at least double than the random probability, and the difference with the second most likely class should be higher than 0.8 times the random probability.
A serious problem arises, however, when you apply Bayes's theorem to real life: it's often unclear what initial probability to assign to a hypothesis.
A Bayesian would have to make the same kind of difficult choice as to what "prior probability" to assign to the existence of ESP.
These putative detections are taken by the Kaldi decision maker and sorted according to their posterior probability to assign a preliminary YES/NO decision to each detection.
We used the hierarchy for each group having the largest posterior probability to assign rank.
Here, Π k = Pr(a i = k) is the prior probability to assign a SNP to class k. ∑ k Π k = 1.
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Then from her knowledge of the protocol (initial singlet state) she can assign a state $S_{bz}=-1/2$ to Bob's particle and use this (as a pre-probability) to assign a probability to the outcome of a measurement of $S_{bz}$.
These character weights are obtained from the source tree analyses, using either bootstrap support or posterior probabilities to assign weights to the branches of the source tree.
This method uses standard statistical techniques for inferring probability distributions to assign probabilities to possible phylogenetic trees.
Probability to correctly assign an unknown meat sample to Cinta Senese was 0.97 1.00.
Here, the Unscented Kalman Filter (UKF) provides statistical information which is used to assign probability values to every model candidate.
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CEO of Professional Science Editing for Scientists @ prosciediting.com