Sentence examples for model to be specified from inspiring English sources

Exact(5)

However, it is not unusual for a model to be specified from a description of how a process unfolds (i.e. via its event tree), rather than through relationships between a given set of measurements.

ML branch-length inference requires the underlying neutral substitution model to be specified (Materials and Methods).

Random forest imputation is a machine learning technique which can accommodate nonlinearities and interactions and does not require a particular regression model to be specified.

Information theoretic methods do not require an explicit model to be specified and can identify disease-associated GGI when multiple loci are involved.

The most principled measure of exceptionality of a motif m is a p-value (or its negative logarithm) of its observed occurrence count, i.e. score(m)≔−log ℙ(X m | s |≥ Occ m (s)), where the probability measure ℙ refers to a random sequence model to be specified, and X m n denotes a random variable counting motif occurrences in a random text of length n.

Similar(55)

We consider Performance Modelling Interchange Formats (PMIFs), which allow models to be specified in a uniform way and ported to a number of tools that solve them.

This latter approach allows for a range of (univariate) imputation models to be specified that closely represent the distributions of the variables with missing data such as linear, logistic, ordinal logistic, poisson, negative binomial and truncated normal regression models.

SBO and the corresponding markup language specification, Systems Biology Markup Language (SBML), allow reaction models to be specified completely and are machine implementable, i.e. serve as executable programs (code).

The main principle in TDSM is that a unit test for a simulation model has to be specified before the simulation model is implemented.

Thereby, a coherent system of competence model, set of skills, task model/pool of tasks, a Q matrix, and statistical model have to be specified.

We relax this assumption by allowing a set of model forms to be specified, and use a scaled product criterion along with an exchange algorithm to produce designs that account for all models in the set.

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