Your English writing platform
Discover LudwigSuggestions(1)
Exact(2)
As the machine learner is trained on previous proofs, it recommends relevant premises from the large library that (according to the past experience) should be useful for proving new conjectures".
These results suggest that overall, the machine learner is better at combining the available knowledge sources than the human for temporal relation classification.
Similar(58)
The other five machine learners are ZeroR, C4.5, Bayes, k-NN and SVM [ 2, 12, 17, 18].
The support vector machine learner, SVM, is known to have high performance and is widely used in Bioinformatics.
Unlike most machine learners, MDR is specifically designed to produce ranking models.
The learner is largely ignored".
Every learner is different.
Remember the learner is only human.
This exceeded the other machine learners that were used for a comparison, on the same dataset, with the exception of another rule-based method, JRip, which performed equally well.
This meta-learner is a machine learning algorithm which learns the relationships between the predictions of the base classifiers and the true class.
What type of learner are you?
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