Sentence examples for approach that classifies from inspiring English sources

It involves a non-model-based approach that classifies student-item pairs as reflecting either solution behavior or rapid-guessing behavior.

Sentiment analysis or opinion mining is an approach that classifies comments as praise remarks or complaints and can further process these classifications into actionable areas to improve clinical practice [14].

In this paper, we present a supervised machine learning approach that classifies seizure and nonseizure records using an open dataset containing 342 records.

Result: OncodriveROLE is a machine learning-based approach that classifies driver genes according to their role, using several properties related to the pattern of alterations across tumors.

The FDA has defined an approach that classifies adverse events relating to suicidality in set categories [ 16- 18]: Code 1 = Completed suicide Code 2 = Suicide attempt Code 3 = Preparatory acts toward imminent suicidal behaviour Code 4 = Suicidal ideation Code 5 = Self-injurious behaviour, intent unknown Code 6 = Fatal event.

We distinguish between approaches that classify interactions directly from distributions of image features and those that first detect faces or bodies and then classify the interaction.

Like several National Academies reviews before it, the new study condemned regulatory approaches that classify products based on the technology used to create them.

Two general strategies are commonly used to classify 16S rDNA reads: (1) taxonomic assignment approaches that utilize comprehensive databases (e.g., the Ribosomal Database Project (RDP) [ 4], ARB-Silva [ 5], and Greengenes [ 6]); and (2) taxonomy-independent approaches that classify reads into Operational Taxonomic Units (OTUs).

We have also evaluated the classification procedure of geNetClassifier using svb-IMPROVER contest platform [ 28], which includes a Diagnostic Signature Challenge with several datasets to assess and verify computational approaches that classify clinical samples based on transcriptomics data (see Additional File 3).

In this work we propose a statistical approach that will classify changes in TSS distribution between different samples into several categories of changes that may have biological significance.

In this paper, we present a Machine Learning approach that aims to classify sentences according to the PIBOSO scheme.