Ai Feedback
Exact(7)
In multivariate Probit model, each subject has a covariate vector that can be any mixture of discrete and continuous variables.
Based on the validated dispersion model, each subject was assigned an annual PM10 concentration every year between 1990 and 2002.
In our random-effects model, each subject is approximated as a perturbation (random-effect) from the group image.
In this model, each subject was given MMT for two months in the detoxification center prior to release and then given a referral card upon release.
In this model, each subject was given one referral card and was escorted upon release from the detoxification center to an MMT clinic and enrolled in the MMT program by a police officer.
We use X i1, X ih, and X i0 to model each subject in these three groups: X i 1 ∼ N (1, φ 1 ) X i 0 ∼ N (0, φ 0 ) X i h ∼ N (m h, φ h ) Without loss of generality, we assume the samples are independent and follow three normal distributions with different means and variances for each group.
Similar(53)
By doing this, it is possible to model the difference between the subject GMM and the UBM instead of modeling each subject's characteristics.
First-level statistical parametric modelling for each subject used a general linear model, modelling the onset of each cue.
To reduce model space, we assumed that related and unrelated conditions modulated the same connections, which reduced the model space to 64 models for each subject in each modality.
Finally, the ranking of the two layout alternatives, resulting from the different weight vectors, are calculated, according to the additive MAVT model, for each subject.
While it is time-consuming to construct the model for each subject, it has the advantage of considering the individual differences and can enhance the precision of timing decision.
Related(20)
example each subject
pattern each subject
system each subject
specimens each subject
model each node
model each step
model each time
model each coupling
model each stair
model each material
model each test
model each object
model each client
model each state
model each parameter
model each layer
model each atom
model each customer
model each year
model each month
Write better and faster with AI suggestions while staying true to your unique style.
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