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According to the theorem, in making inferences on the basis of partial information, we must use the probability distribution which has maximum entropy subject to whatever is known.
When this leaf node is reached, we use the probability distribution of the occurrence of an idle slot or a busy slot for that particular node as the probability of occurrence of the next channel state.
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We use the probability distributions learnt by the previously described prior model as our initial prior policy.
Let us say that each node picks a slot using the probability distribution P. Then slot define an idle slot if no nodes choose it, and also as a collided slot if more than one node chooses it.
A dispatch method using the probability distribution of wind power forecasting errors in WF cluster is proposed.
The GLRT uses the probability distribution that corresponds to the parameter with the highest posterior probability based on the observations in the LRT.
The overall gas phase distribution in bubbles and emulsion phases was estimated by using the probability distribution function of local voidage fluctuations in the bed.
Compared with the deterministic methods, probabilistic methods using the probability distribution of wind power forecasting data will be highly focused in the future.
Using the probability distribution model of wind power forecasting errors, window number W n is determined as W_{n} = text{int} left( {P_{{{text{short}}_n}} /h} right).
The approach is simply based on efficiently tuned real-coded crossover operation using the probability distribution function of Gauss distribution to generate rather dissimilar strings which may be candidates of possible solutions.
In order to evaluate the performance of several metrics used in the field of virtual screening, we used the probability distribution function approach as suggested by Truchon and Bayly to build hypothetical models of different qualities [6].
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