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Models were mixed using mean (sum) rule, weighted mean, and stacked generalization ensemble methods.
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Although the mean or sum rule assumes independent classifiers, it may also work for similar classifiers with independent noise behavior, thereby reducing the error on the estimated output values.
Thus, SOP means sum-of-products while POS denotes product-of-sums.
People use different methods such as majority voting, weighted voting, sum rule, mean rule, product rule, maximum rule, minimum rule, correlation and mutual information to build the combiner.
Applying the sum rule in this case is analogous to comparing means, except the sum rule does not consider the standard deviation nor calculate a test statistic like a p-value.
Mean sum of squares.
They did not apply the sum rule.
Data are fused using the sum rule.
The Weighted SUM rule obtains the summed value with weights.
The HAMA mean sum score at screening was 20.5 ± 5.4.
In this paper, transformation-based fusion (sum rule) was used.
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