The phrase "predict error" is grammatically correct and can be used in written English.
Example: The accuracy of our predictive model was affected by both human error and technical limitations. Our team will continue to refine the algorithm in order to minimize the potential for predicted errors in the future.
Several methods have been proposed to predict error probabilities using neighboring information such as previous frames or adjacent bitplanes.
The mechanisms of predict error control and linear dependency are considered in the IR-KELM, and it leads to decrease the hidden node number and simplify the IR-KELM topology.
The model assumes Poisson-distributed read depths, independence of quality scores across reads, and quality scores that accurately predict error rates, and it relies on an empirically determined distribution of quality scores from single reads (see Materials and Methods).
MF theta alpha coupling significantly predicted error adaptation at 500 ms (r = 0.54, P = 0.018, Fig. 3 D 1), but OC alpha gamma coupling did not significantly predict error adaptation at 300 700 ms (r = 0.378, P = 0.156).
This observation is to be expected, since these methods do not use the input datasets in order to predict error rates, but instead only rely on the gold standard.
In contrast, earlier correlates of performance monitoring such as the ERN and baseline changes in ANS activity may vary with and even predict error awareness but are unlikely to reflect the entry of the error signal into consciousness.
The program was also able to correctly predict errors in calculated logP values for new molecules using the algorithm described in [8].
The model is able to generalize confusions learned from a training set to predict errors made by the speech recognizer on an unseen test set.
This paper describes a Modeling Expertise Framework (MEF) that uses modeler expertise to predict errors based on the revised Bloom's taxonomy (RBT).
An ANN was trained over such time series to predict errors for future, which were added to the numerical estimation so as to predict daily current velocities over multiple days in future.
(B) Observed and predicted error rate distributions for Model logP3-1a.
