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In this paper, we adapt co-evolutionary multi-task learning for multi-step prediction where predictive recurrence is developed to feature knowledge from previous states for future prediction horizon.
This is deemed an important prerequisite for future prediction studies.
Parameter estimation for subsurface flow models is an essential step for maximizing the value of numerical simulations for future prediction and the development of effective control strategies.
The amplitude of friction noise and the magnitude of contact force have been utilized to train a back propagation neural network for future prediction.
This model provides a new method for the analysis of surface subsidence in mined-out area and reference for future prediction, and it is valuable to engineering application.
The table provides a framework for understanding possibilities in and limits on coiled-coil structures and a basis for future prediction, engineering and design studies.
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The minister argued that the most recent leaked papers, obtained by BuzzFeed, were a preliminary attempt by the government to improve on the flawed analysis produced during the referendum, to test ideas, and to design a framework for future predictions.
He hopes the model will be useful for future predictions along these lines, such as looking at pathways of disease progression.
One way would be to set the threshold depending on the expected overall accuracy for future predictions (see 'Cumulative Accuracy'; Additional file 1) [9].
It implies that most of the models captured more or less similar results to that of the observed and can be used for future predictions.
For "future" predictions (i.e., for samples not included in the original test set) RANSAC provides a statistical estimate for the probability of obtaining reliable predictions, i.e., predictions within a pre-defined number of standard deviations from the true values.
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CEO of Professional Science Editing for Scientists @ prosciediting.com