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During prediction, BA uses Bayesian posterior probability estimation.
During prediction, our method goes through from the root to the leaves and borrows from predictions at higher level when there is sparseness at lower level.
During prediction, data available up-to-date are windowed and presented to the regression model to produce the predictions in the future.
During prediction modeling, the most important and the absolute essential component is to carry out a validation of the predicted results (Chung and Fabbri 2003).
During prediction processing, the other view from the decoded picture is inserted into the reference picture, which lists the construction of the current view as shown in Fig. 3.
During prediction, for a given case (x_{i}) in the test set, we transfer it from root node to leaf node at each tree using the clustering information of each non-leaf node.
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During the prediction process, the square of the quality factor, Q2, was used to predict the deep induction log (ILD).
During the prediction step given in Eq. (14), the estimation error will be accumulated.
During the prediction step, the landmarks localization and uncertainties do not change: landmarks are defined in the global frame.
During the prediction of the reacting atoms for a new compound, the set of all possible SoLAs with the appropriate LMNA descriptors is generated.
During testing, prediction accuracy is calculated and average prediction accuracy over 10 rounds is used as the criterion to optimize.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com