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We again address the regression problem of inferring the unknown function f which links the variable y and z.
We consider Bayesian approaches to inferring the unknown parameters in, which is treated as a random vector with a prior.
Calibration is the process of inferring the unknown transition probabilities in the underlying biological processes by fitting the model output to the empirical data (i.e. calibration targets).
Protein sequence similarity is a commonly used criterion for inferring the unknown function of a protein from a protein of known function.
De novo motif identification requires a means of inferring the unknown structural consensus in addition to a local alignment algorithm.
Estimating or inferring the unknown values of model parameters from data is called parameter identification; it is a well-researched topic in systems theory 66– 68 and often the primary purpose of a model.
Similar(54)
Furthermore, the hydrographs were used to infer the unknown geometry between the observation points.
Some target temperatures must be specified as known inputs to infer the unknown thermal boundary conditions.
Inverse theory is a method to infer the unknown physical property (porosity) from measurements (similarity).
Simulation results show that the adaptive RBPF method is effective to infer the unknown NLOS parameter and can achieve good tracking accuracy using a small number of particles.
The general problem of learning or to infer the unknown causes from the known effects is an inverse problem which can be studied with either an engineering approach or a purely statistic one.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com