Examples of using High-dimensional in English and their translations into Chinese
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Political
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Programming
In training, the researchers fed the CNN thousands of pairs of projections and their high-dimensional sources, called“signals.”.
Phenomena that arise when analyzing and organizing data in high-dimensional spaces(often with hundreds or thousands of dimensions) that do not occur in low-dimensional settings.
We propose the following work-flow for analyzing high-dimensional experiments with regions of altered variables:(1) Pre-process raw data using one of the standard normalization techniques.
Our studies have covered time-complexity analysis, approximation ratio analysis, operators' effects, and more recently, optimization in a high-dimensional space and noisy environment.
The transformation may be nonlinear and the transformed space high-dimensional; although the classifier is a hyperplane in the transformed feature space, it may be nonlinear in the original input space.
Our minds contain interpreters which accept two-dimensional patterns and then‘pull' from them high-dimensional notions which are so complex that we cannot consciously describe them.
We need to simultaneously achieve high-dimensional, high-visibility and hardness.
We also examine clustering in high-dimensional space and outlier analysis.
This allowed them to rapidly narrow down the high-dimensional design space.
They are also fairly robust against overfitting, especially in high-dimensional space.
Could there be a similar revolution in high-dimensional continuous data like video?
An image classifier is essentially a complex decision boundary in a high-dimensional space.
What clustering method should I use to visualize my high-dimensional customer data?
However, in high-dimensional spaces, models can become very difficult to visualize.
For high-dimensional datasets with many collinear regressors, LassoCV is most often preferable.
Both these papers concerned high-dimensional periodic optical structures, i.e., photonic crystals.
High-dimensional statistical inference, variable selection, classification and the related big data problems.
However, in high-dimensional spaces, models can become very difficult to visualize.
However, in high-dimensional spaces, models can become very difficult to visualize.
In Muggles' physics theory, there is the concept of“High-dimensional Space”.