Sentence examples for probabilities for generating from inspiring English sources

Exact(1)

This requires precomputing n length-dependent probabilities (i.e. all probabilities for generating a word of any length up to n) for each non-terminal symbol, which might seem to be similar (with respect to complexity) to precomputing all class sizes up to n for all considered combinatorial (sub classes as needs to be done for unranking.

Similar(59)

The tables below illustrate the performance of Algorithm 4 when the number of vertices (n = 10, 15, 20) and 25, the probability for generating an edge (p = 0.1, 0.5) and 0.7 and the value of (k = 2, 3) and 5. # of k-cores denotes the average number of k-cores on the tested graphs, and # of graphs is the number of graphs that at least contained one k-core.

For all i and j, p j N (x i, j P ) is the probability for generating a distance as extreme as x i, j P when the sites are independently drawn according to a uniform law.

In essence, any nucleotide bias reduces the probability for generating specific amino acid substitutions that may be required at key positions along the protein, dramatically reducing the potential for recovering protein variants with a desired set of properties.

The former showed less integrity of ERP component structure, with a lower probability for generating all obligatory components, and did not show evidence of the marked age-related latency reduction found in control infants.

The average probability r for generating an action potential (AP) in the modeled 6 L2/3 PCs is 0.11 ± 0.22 APs per stimulus.

Some additional layers including asymmetric multi-barrier resonant tunneling (AMBRT) in absorption region layers are exploited to provide near unity tunneling probability for generated photocurrents and completely reject thermally generated electrons.

Data from a large clinical database, collected over five decades, was used to construct a Bayesian belief network suitable for generating probabilities of tumour class.

Our methodology is demonstrated numerically for generating probability maps of pressure anomalies and for calculating SNRs.

Each grammar rule has a probability associated with it for generating a subsequence with potential to make part of a secondary structure.

In a previous proteomics study performed on Drosophila data, the same " equal pooling probability" assumption was used for generating peptide samples and determining the number of expected AS events [ 12].

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