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In the presence of interobserver discrepancies in the detection of pulmonary sequestration, a consensus or a majority decision was obtained.
The inter-rater reliability was calculated using the kappa statistic; disagreements were resolved by discussion, and an independent decision was obtained from a third author (GDB) when disagreement persisted.
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The final decision is obtained by integrating the separate decisions of the two classifiers.
The diagnostic decision is obtained based on the following rule: reval > J th → fault state detected.
The overall decision is obtained following the m-out-of-n fusion rule.
In the end, the decision is obtained by hard decoding on, denoted as.
The overall decision is obtained on the basis of the m-out-of-n fusion rule [17].
Hence, with the aid of Proposition 1, it is known in advance that the lower bound for the prediction error variance could only be achieved in case decision is obtained directly from the original time series.
Consequently, for a small number of segments Q, it is expected that a good decoding strategy is to decode each segment independently, and then, the final decision is obtained by selecting the best error (correcting) pattern from these segments decodings.
After applying probabilistic SVM classification on an image, a label that indicates its class and a confidence score that indicates the degree of confidence in the decision are obtained.
A decision of hand gestures is generated by LDA classifier after the current projected feature set and the previous one are "pre-smoothed", and then the final decision is obtained when the current decision and previous decisions are "post-smoothed" from the decisions flow.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com