Sentence examples for learning scoring from inspiring English sources

A geometric distance-based machine learning scoring system was then implemented to derive a risk score from 0 to 100.

With the proposed variable selection method, a machine learning scoring system outperforms traditional risk stratification systems such as TIMI and MEWS.

Machine learning scoring functions consist of four main building blocks: descriptors, model, training set and test set.

ODDT reimplements many state-of-the-art methods, such as machine learning scoring functions (RF-Score and NNScore) and wraps other external software to ease the process of developing CADD pipelines.

The lowest energy docking solutions were then subjected to all-atom structure optimization using a more accurate physical energy function and the interaction energy components of the final structure used as input to the machine learning scoring method.

Whereas STAS extracts lexical tokens that can be used to create categories and rules using an analysis model similar to open coding in grounded theory (Strauss and Corbin, 1998), SIDE must be provided with a previously scored training set of data in order to develop its machine learning scoring model.

Conductors have to spend hours learning scores in private, and a certain amount of work can be done on baton technique.

No significant difference in terms of transfer of learning scores was observed across the groups.

Changes in learning scores were determined from a thematic level of analysis (Miles and Huberman 1994).

There was a general decrease in the deep learning score and an increase in the surface learning score of the students on the course, possibly related to the excessive workload in nursing studies.

We present the analysis of the psychophysiology recorded during game play and its relationship to learning scores.