Your English writing platform
Discover LudwigSuggestions(5)
Exact(23)
We use the maximum likelihood method for estimating the model parameters.
For efficiency, we use the Maximum Likelihood association to assign data points onto targets.
We use the maximum likelihood estimator for each attribute using a training dataset.
According to this property, we use the maximum likelihood estimation method that is used in the discrete-time Markov chain to estimate transition probability.
Similar to [47], we then use the maximum likelihood estimation to make a decision on the state of the previously attempted packets.
For i = 1,…, l: Use the maximum likelihood criterion to select a GMM of M i as the cluster center m i * for M i : Figure 4 An alignment of the sequences s, …, s N to s *.
Similar(37)
The parameters were estimated using the maximum likelihood estimator (MLE).
The decision is made using the maximum likelihood rule.
We estimated β and σ using the maximum likelihood method.
This tree was made using the maximum likelihood method.
Parameters were estimated using the maximum likelihood method.
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