Sentence examples for empirically generated from inspiring English sources

There are four ways by which the required HSUVs can be empirically generated: (1) There are generic preference-based measures (PBM), such as the EQ-5D, SF-6D, 15D and the HUI3, where generic health states are valued using a tariff based on the preferences of the general public elicited using methods such as the time trade-off (TTO) and the standard gamble (SG).

Curve fitting techniques were then employed to identify the values of the model parameters that yielded empirically generated dynamic compliance curves that correlated well with the measured dynamic compliance values.

Based on these, a meta-analysis using 44 empirically generated data from 12 papers in the field of accelerated weathering, thermohygric conditioning and fungal decay of WPCs was conducted.

By using coalescence-based simulation and empirically generated data sets (Whitehead Institute's inflammatory bowel disease data sets and HapMap data sets), we demonstrate the merits of the new method in comparison with HAPLOTYPER and PHASE, with or without the presence of recombination hotspots and missing genotypes.

In the only empirical difference, the contents of the academic subjects marketing and distribution split empirically into two domains (marketing and distribution), as we show in Figure 5. Figure 5 Empirically generated content-related structure model.

First, Crandall [10] explored a single method (statistical parsimony) relative to maximum parsimony using an empirically generated data set from a known phylogeny of the bacteriophage T7 [11].

Benchmarking experiments on 16 popular UCI datasets revealed that our algorithms could empirically generate accurate and significantly more compact decision lists.

The value of parameter Sigma is tweaked from 4 to 16, which empirically generates satisfactory local contrast enhancement results.

This means that the choice of a view distribution with a positive mean is not only reasonable, because the corresponding pick is expected to generate a positive return by incorporating the information contained in sentiment, but also empirically generates a higher Sharpe ratio.

We validated the effectiveness of this approach by empirically generating multiple alignments in which motif sites were lost with a frequency determined by our exponential loss function.

The size and number of dots was determined empirically to generate a similar decrease in luminance as the looming stimulus (35 lux, 86.5% decrease).