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They model the inference processes of the domain being investigated.
For the HCRF model, the inference problem becomes intractable because of the dependence structure of the graphical model.
Unlike the naïve baseline where knowledge and data are not linked, we model the inference with knowledge and data together, so knowledge is also able to help identify differential edges.
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In the marginal model, the inferences on the parameter estimates are asymptotically valid under any assumed structure but it is better to choose a structure corresponding to the data.
In particular, population scale sequencing data will enable the genotyping of SVs across cohorts and read-depth distribution modeling the inference of exact copy-number states for unbalanced rearrangements (Handsaker et al., 2011).
EBSeq is a Bayesian hierarchical model for the inference on the differential gene expression based on RNA-Seq data [ 19].
Given the data model above, the inference procedure seeks to recover the k + 1 distributions over gene-copy number or expression that 'unmix' the data.
Chapter 1 discusses the stability of host-associated microbial ecosystems and related mathematical models and the inference of these models.
According to this conception, different formal languages will be useful in modeling the inferences that are formally valid given different set of 'logical constants' or expressions whose meaning is kept fixed.
We computationally model the intentional inference of storytellers as a POMDP planning problem of getting listeners to pay attention while also inferring their hidden state.
It is also discussed classic and simplified models of the inference systems and some optimization methods of its architecture.
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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