Sentence examples for generalization tendencies from inspiring English sources

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We believe this finding may indicate the generalization tendencies of HIV epidemic.

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Maybe these fresh experiences were not filed away into the person's professional role yet, which could explain their immediacy with fewer tendencies to abstraction and generalization.

The tendency toward "generalization" is related to the character of the realm where the thinking mind, or "thinking ego," withdraws.

This is a bit of a stretch because Sartre was still several years from declaring himself a Marxist, and it shows Camus's tendency towards sweeping generalization rather than close analysis.

On the other hand, the increased anxiety-like behaviour of NPY KO mice (Bannon et al., 2000; Karl et al., 2008) and the tendency towards a generalization of fearful stimuli observed in our study may interfere with the acquisition of extinction memory.

18 However, they are especially aimed at generalization through a focus on central tendencies, and condition-specific instruments such as the DLQI are designed to be responsive to change.

The novel's tendency to work against generalization is not limited to political or social biases.

The phenomena of generalization and transfer are seen in the tendency of laboratory subjects conditioned to respond to a particular stimulus to respond as well to similar stimuli beyond the original conditions of training.

The Marxian approach, moreover, culminated in three generalizations about capitalism: the tendency of the rate of profit to fall, the growing impoverishment of the working class, and the increasing severity of business cycles, with the first being the linchpin of all the others.

MPCA is a higher-dimensional generalization of regular PCA that can be used to detect clustering tendencies in higher-dimensional datasets.

However ANN1 performed better on training data and worse on test data, so that its generalization power was lower than that of the LR model, confirming the tendency of artificial neural networks to overfit training data.

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