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In this way, it does not need to delete any sample instances.
Table 1 shows the statistics of sample instances of primary classes as well as sample primary data sources.
In the second stage, the algorithm sample instances l times from the negative class with the same size as the generated positive class instances.
The algorithm converged in three iterations for a set of sample instances, obtaining the same outcome in comparison with a more intuitive, exact, but more time-consuming search procedure.
In order to improve the accuracy of air quality forecasting, there are usually three approaches to deal with missing data before modeling: (1) deleting sample instances with missing data; (2) replacing missing values; and (3) using multiple imputations.
Her team pooled 50 years worth of scientifically controlled observations of "160,927 unique children" (which means no cloned children were allowed, I guess) and converted those into 111 sample instances.
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Table 1 Primary classes, their description, sample instance data sources and the number of sample annotated instances.
For further explanation of the model structure, sample instance level diagrams illustrating some typical situations are also included.
A tap is taken after each element, and, at any sample instance, the value of the sample is multiplied by a filter coefficient.
To carry out the data pre-processing, the algorithm first calculated the center of positive class instances, and then sample instance points along the line between the center and each positive class instance, in a similar style than SMOTE [28].
Next, for each instance point in the new positive class, the method first finds its k-nearest neighbors in negative class instances with MapReduce, and then sample instance points along the line between the instance and its k-nearest negative neighbors.
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