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The second aspect involved an objective test to calculate the probability that two calibration curves were statistically different, enabling the use of a more quantitative approach to comparing regression coefficients than have been previously reported.
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Conceptualizing experience as involving an objective order and arrangement of items amounts to making objectively valid judgments about it, which, in turn, implies that experience must consist of a rule-governed connectedness of representations (1966: 98).
Commonly used time domain equalizer (TEQ) design methods have been recently unified as an optimization problem involving an objective function in the form of a Rayleigh quotient.
However, clinical assessment should also involve an objective and quantitative evaluation of pain, such as PPT measurement, which enhances the quality of data and enables outcome standardisation and comparison.
The assumption of maximal rates of biomass production involves an objective at the cellular level, whereas in multicellular organisms a given cell's objective is likely to be realised via survival at the organism level, which may not necessarily be dependent upon the growth of the cell.
Two major types of problems stand out, that is, the decision problems involving a single objective and challenges requiring use of multiple objectives jointly.
We involve a second objective to force the model to choose safer paths for connecting all O/D pairs.
It cannot even be represented because, on his view, representing the body necessarily involves adopting an objective stance on the lived body.
The strategy involves constructing an objective function with the sum of the squared Euclidean distances for numeric microarray and clinical chemistry data and simple matching for histopathology categorical values in order to measure dissimilarity of the samples.
The strategy involves constructing an objective function from the sum of the squared Euclidean distances for numeric data with simple matching for categorical values in order to measure dissimilarity of the samples.
Because model fidelity and model robustness are two conflicting objectives, the new approach involves a multi-objective optimization that leads to a Pareto front, which defines a tradeoff relationship between model fidelity and model robustness.
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