Sentence examples for models and inference from inspiring English sources

This meta-Bayesian approach provides an approximate solution to the IBDT problem; in terms of model comparison for any combinations of perceptual and response models and inference on the parameters of those models.

These models are a particular class of multilevel or hierarchical models and inference can be made under the Bayesian or frequentist paradigm (Schabenberge and Gotway 2005).

While the V100 is optimized for machine learning, though, the T4 (as its P4 predecessor) is more of a general-purpose GPU that also turns out to be great for training models and inferencing.

This meta-Bayesian approach (experimenters make Bayesian inferences about subject's Bayesian inferences) provides an approximate solution to the IBDT problem in that it enables comparisons of competing (perceptual and response) models and inferences on the parameters of those models.

These two steps are referred to as modelling and inference respectively.

The MLFD is shown to be log-concave and this confers a number of attractive properties for modeling and inference; see Walther (2009) for a good review of statistical modeling and inference with log-concave distributions.

Modelling and inference using standard general linear model (GLM) design set-up was accomplished using permutation test (5000 permutation) as implemented in FSL [17].

In 1986, there is a rebirth of connectionism at the same time that an emphasis in knowledge modeling and inference, both symbolic and connectionist.

Modelling and inference can use the empirical Bayesian (EB) approach via penalised likelihood techniques [25].

Modelling and inference use the empirical Bayesian approach via penalized likelihood technique.

Among these methods, Bayesian networks have been used since the advent of microarray technologies for GRN modeling and inference [16].