Sentence examples for use exemplars from inspiring English sources

Specifically, we first use exemplars to represent the entire template library, and assign the most similar exemplar to the test subject.

They use exemplars from the patient's own words (first order construct), for example: It's not who I am it's just who I am if you know what I mean, it's not really me, I get like that and I know like, you're being mean now but I can't help it.

Therefore, the classifier might use exemplar-specific rather than category-specific data features to identify class-membership, effectively predicting exemplars instead of semantic categories within a modality.

One solution is to fall back to the approach advocated by MacLeod (2002a), and use exemplar shapes provided by plant biologists (e.g., Hickey, 1973; Leaf Architecture Working Group, 1999), which have been developed through the observation of large numbers of leaves by many botanists, an organic form of shape decomposition.

A potentially important side effect of using exemplars consisting of 30 subsequent frames in [20],[24] was that the conversion of state activations to state posterior probabilities involved averaging over 30 frame positions.

These are presented in the following sections using exemplars from the participants.

From this interpretation and using exemplars from the analysed text each component is described in the findings.

The themes and core experience are presented in the following sections using exemplars from the participants that best illuminated the themes or statements that summarized the exemplars.

We disclosed the diagnosis of a third of patients and controls to the radiologists for the third dataset so as to mimic the training of an SVM, which uses exemplars for that purpose that are themselves similar to those categorized.

The application has been developed using exemplar use cases that have helped identify useful visualization techniques.

Using exemplar applications to high-throughput phenotyping experiments, we show how hctsa allows researchers to leverage decades of time-series research to quantify and understand informative structure in time-series data.