Sentence examples for classify such a from inspiring English sources

Exact(6)

We would classify such a feedback as motivated explicit feedback, since it is motivation that removes burdens from the explicit nature of the feedback.

Those who believe that a fully human conceptus has full moral status from conception would need to decide how to classify such a chimera and may be confused by the situation.

The predictions most affected are those in which all network outputs for a particular compound lie between 0.491 and 0.616: all networks in logP3-3a will classify it as a positive, whereas all networks in logP3-3b will classify such a compound as a negative.

Shaw said that leaves a question about how to classify such a death.

As the tail feathers are moulted towards the end of the wing moult, using tail feathers for the analysis would increase the likelihood to classify such a far-ranging bird as 'northern migrant'.

Our extended analysis would thus emphasise that no unique protein marker may be appropriate to classify such a heterogeneous disease, and reinforces the notion that a combination of protein markers is possibly necessary to allow the correct distinction of normal and cancerous ovarian epithelial cells.

Similar(54)

I went, ostensibly, to learn Spanish -- my Presbyterian upbringing wouldn't allow me to classify such an extended trip as pure escape, so I came up with an actual reason to go.

Classifying such a wide swath of people (more than eight hundred thousand as of 2015) as likely to re-offend requires law enforcement to constantly monitor each person, draining police resources and making it virtually impossible to focus on those who pose the highest risk of harm to others.

Then if RotBoost ensemble classifier is applied to classify such dataset directly, a rotation matrix with thousands of dimensions is required for each tree, which greatly increases the computational complexity.

Despite the fact that clinicians failed to agree on the cut points to apply to each code, they did, in contrast, regard the "eupneic" and "taquibneic" patients as "normal" and "altered" respectively, which means that, while they would be able to classify such patients on a categorical scale, they would nevertheless leave them as missing data on a continuous scale.

The basic idea of the proposed method is to treat each human activity in the video as a temporal sequence of points on a Riemannian manifold and classify such time series with a geodesic-based kernel.

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