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The presented definition of uncertainty departing from probability provides a tool which corresponds to a given energy models results' in terms of its input variables, its geographical coverage and time resolution.
A Bayesian understanding of probability provides us with two equally valid but very distinct approaches to describing neural function.
The analogy with probability provides a connection between input-output functions, measurement and information.
This probability can be computed using the forward and backward algorithms and the resulting alignment probability provides us with a measure of confidence about the (biological) relevance between the given symbols (i.e., nucleotides, amino acids).
If F + = ∫ 0 ∞ f + (τ q 2 | β \ J (q ) ) d τ q 2, then a Bernoulli draw of probability provides a Gibbs decision to turn on or off parameters in group q.
Decision making when a subject is presented with a choice between a fixed delay to reward versus a risky delay (that is either shorter or longer with equal probability) provides a measure of impulsivity (Bateson & Kacelnik 1996, 1997; Kacelnik & Bateson 1997).
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However small the probability, provided only that it be finite, the mathematical expectation of this wager is infinite.
The strong law, however, asserts that the occurrence of even one value of Xk for k ≥ n that differs from 1/2 by more than ε is an event of arbitrarily small probability provided n is large enough.
Thus coherence increases with overall probability, provided strength is held constant.
The probability that with arbitrarily high probability provided that is sufficiently large and.
The results showed that the building damage probability provided a high accuracy of prediction about 75.81%.
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CEO of Professional Science Editing for Scientists @ prosciediting.com