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To avoid unintentional circularity, we excluded the causal information from the specific evaluation data sets used in this study when building and evaluating the network.
Mixtures between simulated data and measured data [21, 87, 88] can also serve as interesting evaluation data sets.
As for the LMs, different LMs were used for the word and phone-based speech recognizers, and for the different evaluation data sets.
Table 8 shows the size of the flow table in the DFM approach for each of the five evaluation data sets.
Therefore, the space required for the reconstruction table varies and is based on the number of concurrent flows.Table 8 shows the size of the reconstruction table in DFM approach for each of the five evaluation data sets.
Table 7 shows the evaluation of the DPM approach on all of our five evaluation data sets, using the same TR and MR metrics as we used to evaluate the DFM approach.
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A number of recent and popular subspace clustering algorithms were then evaluated for their performance on the evaluation data set.
In order to evaluate O-HARP, we compared its performance on the genome clustering evaluation data set against a selection of other algorithms.
A simulation study is given and the new analysis is applied to a sensory evaluation data set.
The performance measure of the average unweighted recall on the evaluation data set improves by 3.37% absolute (8.82% relative) over a Support Vector Machine baseline model.
Obtaining training data through simulation was a useful technique to enhance the neural network's performance in a time-efficient manner, and improved the mean sensitivity and specificity on the evaluation data set from 82.93 and 84.44% to 87.20 and 89.20%, respectively.
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