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In the proposed approach, HEQ transforms the trained mean models of a speech recognizer into environmentally matched models.

The trained acoustic mean models of a speech recognizer are adapted into environmentally matched conditions by using the histogram equalization algorithm on a single utterance basis.

A stability condition for steady-state solutions ot the unsteady-state IEM (interaction-by-exchange-with-the-mean) model of micromixing is derived using linear stability analysis.

These were equated back to daily deviations specified in the means model of MZ and DZ twins.

The performance of the proposed method obeys the basic principle of machine learning; that is, more training data means model of high accuracy.

Again, the limitations on the ends-means model of rationality must be recognised and it should not be assumed that sophisticated priority setting mechanisms will automatically produce research regarded as relevant by policy-makers.

The median number of field plots needed to reliably sample the mean model ACD of any substratum is 43 (mean = 61; Fig. 6b).

When comparing the unconditional linear change model with the unconditional mean model, 34% of the within-subject variance in BMD was attributable to time.

As depicted in Figure 2, for cancer, this means models of the spatiotemporal changes in cell populations while predicting the influence of genetic drivers and therapies on these model parameters.

The Mean model (the mean of pairwise character difference), which can adjust for missing data in the matrix, was used to calculate the pairwise distance.

The results of this structural annotation indicate that all CSEPs had comparatively low values for mean lengths, mean proportion disorder, mean maximum length of disorder, mean model quality and mean number of domains (Additional file 16).

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