Sentence examples for features of the inputs from inspiring English sources

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In this paper, we first argue that the quality of measurement results depends on their object-relatedness ("objectivity") and subject-independence ("intersubjectivity") and is justified on the basis of the structural features of the measurement process, as well as features of the inputs or the outputs of the process.

If these two features of the inputs are correlated during the training of the model, a somatotopically aligned map of direction emerges for each whisker in S1.

Similar(58)

When applied while fixing a relatively low level of the network, the result is an image emphasizing local geometric features of the input.

Amplifier, in electronics, device that responds to a small input signal (voltage, current, or power) and delivers a larger output signal that contains the essential waveform features of the input signal.

The shape of the covariance function of the Gaussian process determines several properties of the modelled function, such as its smoothness, how quickly it changes, and which features of the input vector it is sensitive to.

Each of these GNNs takes the class-supportive fuzzy granulated features of the input in order to preserve the feature-wise belonging information to different classes.

The results GORMANN are similar to a cross between a Kohonen SOM and morphological skeleton: the input is discretized and only the key features of the input are preserved.

Recently the deep learning methods have achieved vast success in many conventional fields, and one of the most popular deep architectures is convolutional neural network (CNN) which sufficiently utilizes partial features of the input images.

As a further contribution, we propose two alternative implementations of Expedite that perform even better than the basic version, although they rely on particular features of the input dataset.

With repeated exposure, the network extracts features of the input data, by training the columns to fire for specific patterns.

It is robust to perturbations of input data, independent of dimensions and coordinates, and provides a compact representation of the qualitative features of the input.

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