Your English writing platform
Discover LudwigSuggestions(5)
Exact(60)
Unfortunately, the MALLET implementation of marginal probability only provides the marginal probability of each label.
Marginal probability mass distributions p(X) and p(Y).
The histograms are smoothed and used to estimate marginal probability densities of reservoir attributes.
The choice of nest is a marginal probability, also called the upper model.
Here P1(b) is a marginal probability for a single fixed symbol to have tally b.
The channel marginal probability density function is expressed by using the general approximate message-passing algorithm.
Conditional or marginal probability approaches are widely utilized in classical accident modeling and risk assessment.
However, one limit is that it restricts the marginal probability effects.
Individuals are allocated to a class according to a non-parametric marginal probability.
The prior probability distribution is a necessary input in calculating the marginal probability and posterior probability.
where is the complementary event of, and is the prior probability or marginal probability of.
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