Sentence examples for generalized feature of from inspiring English sources

These results agree well with the results of studies having employed this methodology in other regions, suggesting that this is a generalized feature of the transition across Eurasia.

Moreover, the temporal hiatus between the two sets is consistent with the stratigraphic discontinuity observed at the interface between layers 2 and 3, and the existence of such hiatuses at this point in time is a generalized feature of cave and rock shelter sequences of southwest Iberia that span the Middle-to-Upper Middle-to-Upper Middle-to-Upper Paleolithic

To what extent (i) is the process of B-cell driven LN "collapse" a generalized feature of LN reactivity to immune-inflammatory challenge (see previous section) or is a specific response to chronic inflammation and (ii) whether these dynamics can be applied to human disease and treatment, still remain to be defined.

Interestingly, baseline AMPK activation levels were also higher in Scn4a M1592V/ + muscles, confirming that the rise in AMPK activation levels is not unique to draggen muscles and could be a generalized feature of Scn4a mouse models showing myotonia and hind-limb dragging attacks.

It is unlikely to be a generalized feature of impaired transsulfuration as although previous work in our laboratory has reported some differences in scale, we observed an essentially identical pattern of regulation of the cysteine oxidation enzymes and indistinguishable levels of plasma tHcy between male and female HCU mice (Jiang et al., 2014; Maclean et al., 2012b).

Therefore, it compresses or generalizes feature representations and generally reduce the overfitting of the model to the training data.

Generalization beyond the experimental situation should consider whether the dynamics revealed here could be generalized to other features of the same stimuli, to other stimuli and to other tasks, including passive viewing.

By using single NN configuration, it means that the NN training dataset contains the data of 24 dimensions of log-melspectral features and the NN training generalized the RTF of these 24 feature dimensions.

Although the effects of protein binding and open chromatin on breakpoint locations are entangled, since transcription factors are well known to typically bind in open chromatin, we have generalized the understanding of each feature.

On top of blinding certain words (e.g. protein names), stemming further generalizes the feature patterns.

The basic idea of our approach is that, instead of permanently changing the list of most important features with newly loaded data blocks, we generalize the concept of incremental feature selection to an incremental feature weighting approach: features are assigned weights in [0,1] according to their importance level.