Sentence examples for a few latent from inspiring English sources

Exact(7)

In this scenario, a sparse feature representation [22] where only a few latent topics describe the information that we are anticipating does the trick.

However, many high-dimensional UQ problems are intrinsically low-dimensional, because the variation of the quantity of interest (QoI) is often caused by only a few latent parameters varying within a low-dimensional subspace, known as the sufficient dimension reduction (SDR) subspace in the statistics literature.

The traits studied are assumed to be linear combinations of a few latent variables, referred to as common factors.

Epstein Bars virus resides in NPC cells in a status called type II latency, with only a few latent genes expressed (Brooks et al, 1992).

Younger animals tend to be more resistant to infection and frequently clear infections, although a few latent infections may occur [ 4, 24].

With only a few latent variables, data can be graphically displayed and the key contributing attributes to the total explained variation is easily interpreted.

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Similar(52)

It seemed that the minimum misclassification ratio corresponded to 2 LVs, meaning that a relatively simple classification model was obtained, that is, a model based on few latent variables, which was preferable in terms of both model interpretation and stability.

Principal component analysis describes the correlation or variance covariance structure between the set of variables through a few uncorrelated latent or new variables, each of which is a linear combination of the original variables which can maximize the variance accounted.

DPLS can successfully deal with multicollinearity in the data by constructing a few (f) latent factors, T (m × f), which maximise the covariance between X and y [ 6].

It circumvents typical problems associated with the highly correlated and collinear nature of experimental data by projecting the data onto a few independent latent factors.

To overcome this problem, the PLSR approach functions to reduce a high dimension independent variable space into a lower dimension space (dimension reduction), which can be represented by only a few coordinates (latent components).

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