Sentence examples for relative to features from inspiring English sources

Exact(6)

In most cases, however, the rules will not match sentences directly with propositions, but will match sentences with propositions relative to features of the context in which the sentence is used.

The window duration, τ w, is a parameter that controls the time span of the features extracted from the signal, and can therefore play a crucial role in matching the features from solo performances relative to features extracted from isolated notes.

Binding profiles of Spi-B and PU.1 relative to features in the mouse genome were depicted using DeepTools [ 29].

Next, binding profiles of PU.1 and Spi-B relative to features in the mouse genome were determined using DeepTools [ 29].

My main questions were about what to make of this finding relative to features we know about and that we know have spatial maps; is this a re-discovery of direction tuning, because the frictional term of a given surface dictates how a vibrissa is stopped with high deceleration (e.g., caudal direction tuning?), or propensity to spring forward suddenly (e.g., rostral direction tuning?)?

Reviewer 2: My main questions were about what to make of this finding relative to features we know about and that we know have spatial maps; is this a re-discovery of direction tuning, because the frictional term of a given surface dictates how a vibrissa is stopped with high deceleration (e.g., caudal direction tuning?), or propensity to spring forward suddenly (e.g., rostral direction tuning?)?

Similar(54)

Attended features also elicited a response increase relative to unattended features when their spatial location was attended.

It was shown that some of the constructed features could indeed improve music classification performance relative to conventional features.

We found that concepts with relatively more distinctive and more highly correlated distinctive relative to shared features facilitated basic-level naming latencies, while concepts with relatively more shared and more highly correlated shared relative to distinctive features speeded domain decisions.

The main reason for this might be that perceptual feature vectors model the valence axis more efficiently relative to conventional features.

The main reason for this might be that perceptual feature vectors model the valence axis more efficiently relative to classical features.

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