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The results of our experiments suggest that even without labeled data, it is possible to build useful machine learning models and that leveraging these models could result in significant gains (at least 8 times better) over a random method.
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Are scoring models built using machine learning generalizable across colleges and courses (majors and nonmajors at different universities)?
Here, we focused on using the structured data to build predictive models using machine learning based methods.
They used machine learning to build a query suitable for retrieving research articles in PubMed Central reporting on data deposition.
Instead of producing the rules by hand, it might be useful to learn them using machine learning.
In order to process such data and extract useful information from it, researchers have been using machine learning techniques.
We are reimagining the dictionary and creating more useful semantic maps for children to acquire language using machine learning.
The company uses machine learning to search for targeted items and retrieve useful data points.
Decision trees are a useful machine learning technique for classification problems.
The 3D kernel approach is very useful machine learning classifier.
Some models are based on neurophysiological data, but many are built purely using machine learning and robotics techniques.
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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