Sentence examples for model probability of from inspiring English sources

With 2K possible variable combinations, a uniform model prior means a common prior model probability of p(Model) = 2−K.

begin{aligned} dot{w}=argmax_{word}= P word | typo)= argmax_{word} P typo | word)* P word) end{aligned} (7 where P typoword) is computed based on a confusion matrix and P word) using the language model probability of a given word.

where μ m,i (t − 1) represents the i th model probability of the m th AN at time step t − 1, p ij denotes the transition probability defined in Markov chain, and c ¯ m, j is a normalized variable, which is defined as c ¯ m, j = ∑ i = 1 2 p ij u m, i t − 1. (13).

This approach removes subjectivity in estimating temporal weights between intervals of unequal length and uses observed movements and measurable location error to model probability of occurrence.

In the Watts-Strogatz model, probability of increasing rewiring demonstrates the transition of a random network from a periodic ring shaped lattice of the small-world topology [ 44].

Denote the prior model probability of H0, H1, H2 and H3 to be P (H0), P (H1), P (H2) and P(H3), respectively.

The generation probability (Pgen) of a nucleotide or amino acid CDR3 is the sum of all model probabilities of V(D J recombination events that generate the sequence.

The variances of groundwater head predictions are significantly decreased by reducing posterior model probabilities of unimportant propositions.

Figure 7a shows the model probabilities of AN1.

An -gram language model can be used to model probabilities of unit sequences in the language model.

Posterior Model Probabilities of the best performing 2000 models are displayed on the ordinate of the second graph.