Background: The number of algorithms available to predict ligand-protein interactions is large and ever-increasing. The number of test cases used to validate these methods is usua...
Luis A. Diago, Persy Morell, Longendri Aguilera, E...
Performance prediction is valuable in different areas of computing. The popularity of lease-based access to high performance computing resources particularly benefits from accurate...
Javier Delgado, Seyed Masoud Sadjadi, Marion Brigh...
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
This study aims at providing an empirical basis for the evaluation of predictions made by metrical phonology. The predictions are compared to perceptual syllable prominence annota...
Abstract—To respond to variations in solar energy, harvestedenergy prediction is essential to harvested-energy management approaches. The effectiveness of such approaches is depe...
Mustafa Imran Ali, Bashir M. Al-Hashimi, Joaqu&iac...