Your English writing platform
Discover LudwigSuggestions(5)
Exact(3)
The main characteristics that make SVMs advantageous for problems of the type we were facing are: 1) Their ability to deal with highly multi dimensional data.
In a previous study we used principle components (PCs) to reduce the multi dimensional data sets into lower dimensions [ 13].
Given digitized image data or multi dimensional data, machines extract features and classify patterns by examining each digital element (pixels) of each image.
Similar(57)
Groups can contain other groups and datasets; datasets contain complex multi-dimensional data.
We have achieved the following results considering a multi-dimensional data model.
Multi-dimensional data analysis has rarely been performed on injury data.
Low-rank tensor completion addresses the task of filling in missing entries in multi-dimensional data.
However, in cases of multi-dimensional data, parameter initialization is both difficult and time consuming.
Data cube is playing an essential role in fast OLAP in many multi-dimensional data warehouses.
NCO is optimized to efficiently analyze large multi-dimensional data sets spanning many files.
A new parameterized multi-dimensional data encryption method is presented in this paper.
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