Sentence examples for an augmented data from inspiring English sources

18 An augmented data set was created where the initial data set is replicated a number of times equal to the different causes of death.

For the limitations above, in this paper, we proposed a strategy of dataset remodeling by transferring parameters of ResNet-101 layers trained on the ImageNet dataset to initialize learning model and adopt an augmented data variation approach to overcome the overfitting challenge of sample deficiency.

As M pseudo values are computed for each subject, an augmented data set is created with M observations for each subject.

The augmented data A consist of the set of colonization statuses for each patient on admission to the ward { a i}; a set of indicator variables, { c i}, to mark whether or not a transmission event occurred for patient i; and the times at which these transmission events occurred, {tic}.

The analysis of the chemotaxis functional group demonstrates that while using a small bait list or list of experimental proteins may not fully depict the global profile of a disease, using literature augmented data can help to expand this profile and further help to understand new pathways with respect to disease.

These include joint sampling of location parameters; efficient sampling from the fully conditional posterior distribution of augmented data, a multivariate truncated normal distribution; and sampling from the conditional inverse Wishart distribution, the fully conditional posterior distribution of the residual covariance matrix.

For each variable with missing data >5%, this involved coding the missing data as each potential response, and determining whether there was a difference in outcome between each augmented data set.

Analysis of these results shows that a majority of the TFs identified using literature augmented data and scored using topological methods are known to be highly relevant with respect to CRC.

At each iteration, a Gaussian distribution showing the joint probability is fit to the augmented data containing the best policies and the corresponding goals obtained so far.

After correction, the data was augmented and MCR-ALS was applied to the augmented data.

Inferences are made by numerically integrating over all realizations of the augmented data consistent with the observed data.