Sentence examples for model counting is from inspiring English sources

Furthermore, for this setting an inference algorithm that is a generalisation of weighted model counting is developed, making use of SMT solvers.

The second dimensions relates to whether weighted model counting is performed using a search algorithm on the CNF, or by compiling the CNF into a structure that renders WMC a polytime operation in the size of the compiled structure.

Under such models, counts are generated either from a 'non-susceptible' or 'perfect' state that always gives zeros, or from a 'susceptible'imperfectect' state that produces both zero and positive counts according to a standard count data distribution.

Any similarity model based on edge counting is a function of distance.

A natural model for counts is the single-parameter Poisson distribution.

Therefore, a statistical model for microcrack counting was created to develop guidelines for sampling bones for microcracks.

The special case z = 1 reverts to the original, memory-less model; all counts are reset to zero and each document restarts from the global Zipfian ranking r0.

Values consider the number of reads supporting each model and counts are normalized.

For this model, vesicle count was the most utilized parameter although other parameters (size and intensity) were collected.

First, count-based RNA sequencing is not modeled properly by conventional error models (read counts are overdispersed and not normally distributed).

Differential analysis was performed using DESeq2 v1.4.5 which uses a generalised linear model in which counts are modelled using a negative binomial distribution.