Sentence examples for predict errors from inspiring English sources

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.

Here we investigate, in individuals with schizophrenia, two specific effects associated with this role: the error likelihood effect (occurring on trials with correct performance, but features that predict a high probability of errors), and the error unexpectedness effect (occurring on trials with an error, but features that predict errors are of low probability).

Retrieval simulations for one sensor, including the major sensor and geophysical error sources, predict errors of about 0.1 practical salinity units (psu, equivalent to grams of salt per kilogram seawater or parts per thousand, 0/00) in equatorial areas and about 0.2 psu at high latitudes, for 100-km and monthly averages.

Several methods have been proposed to predict error probabilities using neighboring information such as previous frames or adjacent bitplanes.

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).

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.

By the fact that it includes the predicted errors on future trials in the cost function, predictive iterative learning control is clearly a higher order law.