Your English writing platform
Discover LudwigSuggestions(1)
Exact(15)
To capture the non-stationary distribution of DT, we utilize the Gaussian process latent variable model for dimensional reduction.
But the real materials to which these ideas have been applied are usually rendered three-dimensional by a finite electronic coupling between their component layers; a two-dimensional QCP has not been experimentally observed in any bulk three-dimensional system, and mechanisms for dimensional reduction have remained the subject of theoretical conjecture9,10,11.
The theory includes sufficient conditions for dimensional reduction and a systematic procedure to formulate lower-dimensional BVPs.
For dimensional reduction, we need to express the (G, h -invariance of th -invariancevalently in lofal thems.
Among these, several features have the same origin of variation, which results in strong correlations between few variables (wavenumbers) and sets the stage for dimensional reduction.
Moreover, we state sufficient conditions for dimensional reduction in such BVPs and present the systematic formulation of the lower-dimensional problems.
Similar(45)
A notion of dimensional reduction for functional measures indexed by bounded rectangles in Euclidean spaces is introduced.
Although PCA is widely used for the dimensional reduction of biomedical data, with applications in visualization, clustering and regression, interpretation of PCA-based models remains challenging.
Although principal component analysis (PCA) is widely used for the dimensional reduction of biomedical data, interpretation of PCA results remains daunting.
One of the most widely-used procedures for dimensionality reduction of high dimensional data is Principal Component Analysis (PCA).
PCA helps to explain the variance in data and is a common technique for dimensionality reduction in high dimensional data.
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