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In the challenge we developed a variational method to learn the model and an efficient approximation algorithm for prediction.
To identify the best algorithm for prediction model computation with the existing data, we evaluate a set of regression algorithms.
Its current implementation, developed by David Poole and co-workers, uses an algorithm for prediction which holds for a restricted part of Theorist.
We were inspired to furnish information concerning the promising applicability of a hybrid approach involving artificial neural networks (ANNs), with manifold network functions, and a meta-heuristic optimization algorithm for prediction of soil compaction indices.
In this study, we explored a non-parametric evolutionary algorithm for prediction of soil moisture from a time series of spatially-distributed rainfall across multiple weather locations under two different hydro-climatic regions.
This paper introduces a fuzzy-based algorithm for prediction of material removal rate (MRR), tool wear ratio (TWR), and surface roughness (Rz, Rk) in the EDM and ultrasonic-assisted EDM (US/EDM) processes.
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Although there are numerous computer-aided algorithms for prediction of microRNA targets, these predicted targets remains to be experimentally validated and how many microRNAs can actually target a single gene is not clear.
Despite recent advances in improving the accuracy of algorithms for prediction [ 2, 3], experimental validation of predicted localization is still the golden standard to obtain reliable functional information.
Although we can find numerous algorithms for prediction, many of them only work by producing a predictive function that indicates to which target value the objects belong.
This acumen when enabled with reliable algorithms for prediction can give amazing business results for the organisation deploying the prediction modelling.
We sought to perform validation studies of previously published and newly derived first-trimester metabolomic algorithms for prediction of early preeclampsia (PE).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com