Sentence examples for recurrent updates from inspiring English sources
Recurrent updates of the training population would be required to enable accurate prediction of the genetic merit of young animals.
Although the operational data are not strictly homogeneous during this period, we do not expect recurrent updates to significantly affect our conclusions, given the many other more significant sources of uncertainty discussed below.
The accuracies of genomic predictions depended on the extent of relatedness between training and testing set animals, which means that recurrent updates of the training population are necessary to enhance predictions of the genetic merit of young animals.
Despite that considerable efforts have been made to produce reference antibodies to improve the accuracy of the HI test during serosurveillance of AI [ 20, 21], the accelerated mutation rate of AI viruses and the rapid accumulation of antigen drift [ 7, 19, 22] require a recurrent update of reference antigens or antisera for accurate surveillance.
At each iteration, the recurrent weights are updated to incorporate the novel subregions (red) into the learned environment (gray).
The emergence of the combinatorial mode not only depends on the environmental size but also on the manner in which the recurrent connections are updated as the animal explores novel regions of the environment.
Moreover, if the motor command has to be updated, these recurrent loops would allow AIP to inform the motor output online, depending on the object's new properties.
For the example presented in Fig. 1, the recurrent weight matrix W is updated as the animal gradually learns novel subregions of an environment [10].
Six more patients died in the current update: three from recurrent HCV disease (36, 37 and 72 months post-LT), one from embolic stroke (56 months) and one from lung adenocarcinoma (96 months).
Updated experiences of 6 patients with recurrent serous ovarian cancer were reported by Tanyi et al. at ASCO 2016 (Tanyi et al., 2016).
Top-down predictions are updated in subsequent iterations of this recurrent process to further minimise the prediction error.
