The methodology is founded on the premise that, absent a consensus on social policy priorities, that are, on which indicators are more important and should be given higher weights in the index, each state is granted leeway for deciding how to weigh its own indicators and the most favorable weights for indicators are determined for each state.
For example, closer electrodes (i.e., configurations 1 4) can be given higher weights than farther electrodes (i.e., configurations 8 10).
A weight, w(t), is given to each term t to quantify its importance (e.g. properties that are rare and/or of particular interest to researchers may be given higher weights).
Therefore, in AdaBoost, the samples in the minority class that are often misclassified at start will be given higher weights in subsequent classifiers and then have higher chance to be correctly classified.
Parameter sets which give rise to distributions which are generated by many other parameter sets will be given lower weight, due to the normalisation factor in this equation, whereas parameter sets that generate results in quartiles for which other parameter sets infrequently produce results will be given higher weights.
The surrounding pixels are given higher weight than further pixels.
The experimental data reported by Ransley and Neufeld [22] have been given higher weight by Murray [18] and Zhang et al. [19] in their assessment of the Al Na system because of high purity Al and the experimental procedure used.
Information from manually curated databases is given higher weight than computationally predicted TSS locations.
Thus, studies with smaller, more specific gene lists are given higher weight than studies with large, less specific lists.
