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Modification of this value by enlarging training dataset did not change the positions of the curve but reduced its resolution due to lower number of test points.
Further enlarging training sets by pooling with other populations might then even be detrimental (Habier et al. 2013; Riedelsheimer et al. 2013).
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The impact of using imputed dams to enlarge training sets on the accuracy of genomic predictions was evaluated for different populations, heritabilities and sizes of training sets.
In other words, enlarging the training set by adding the training animals from any other line deteriorated the prediction performance.
The predictive quality of the ANN can be further improved by enlarging the training datasets and by optimising the network construction.
Chiang et al. developed an online wavelet-domain retraining method to improve the seizure prediction by enlarging the training dataset gradually[49].
It can be concluded that enhancing convergence rate of equalizer is a better option than enlarging the training sequences in underwater acoustic communication.
The prospects for improving this result further are many, starting with simply enlarging the training dataset by including similar genomes from other nematodes, C. briggsiae in particular (see further discussion in Section 6).
By greatly enlarging the training set, we recently improved the MoRF predictor.
Therefore, enlarging the training set with unrelated or distantly related animals did not significantly improve predictive correlations.
Therefore, enlarging the training set via combination of data from both heterotic groups also would be an interesting approach for genomic prediction in maize breeding.
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