Sentence examples for latent pattern from inspiring English sources

The Max-margin Latent Pattern Learning (MLPL) method is proposed to learn high-level semantic descriptions of latent action patterns as the output of our framework.

The geographical distribution of the risk of the PPH conditions is captured in a 36% by a unique latent pattern.

In our study we aimed not only to report the results of the interviews and their practical implications, but to identify the latent pattern of the data.

It remains surprising, however, that the psychology students were able to set up an efficient recoding scheme after only 15 minutes' training that allows easy shifting from overt to latent pattern recognition.

The distribution of this common latent pattern captures about the 36% of the total variability, and may be used to evaluate healthcare systems performance, as it allows detecting areas with homogeneously low or high risk of PPH admissions that may suggest hypotheses about possible causes (and possible interventions) to reduce the volume of PPH.

Our study shows, primarily, the possibility of modeling the geographical distribution of the risk of admission for several Potentially Preventable Hospitalizations concomitantly, providing the latent pattern shared by all the PPH conditions analyzed and quantifying how well each PPH is represented on it.

The basic premise of the industry's offering is this: Hidden in that huge mass of enterprise data are latent patterns.

The proposed approach is able to handle imprecise consumer perceptions and discover latent patterns to guide affective design.

Before Digital Age, when experiments included only a handful of students, data science provided tools for designing experiments, for confirming or rejecting hypothesis and for exploring intermediate or latent patterns.

Data were classified using full-text descriptions with Latent Dirichlet Allocation, and latent patterns emerging through the unsupervised learning process were modelled by company and year to create an overall view of patenting within the industry, and to forecast future trends.

However the two methods take opposite perspectives in extracting patterns from a data matrix: PCA assumes that the observed variables provide the basis for the patterns, whereas FA assumes that latent patterns provide the basis for the observed variables.