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It is this difference which equips support vector machines (SVM) with a greater ability to generalize beyond the training data.
For more validity verification, the ANN/SA models are employed to predict the ground-motion parameters of a part of the database beyond the training data domain.
For more validity verification, the SA-ANN model is employed to predict the PGA of a part of the database beyond the training data domain.
For more validity verification, the MEP-based correlations are applied to simulate the stress strain curves of a part of the laboratory results beyond the training data domain.
This makes it easy to apply, but limits both its ability to generalize beyond the training data and the amount of smoothing it can perform to counter the effects of noise and other sources of randomness on the predictions.
This selection is generally based on the criterion of high accuracy on training data, but also strives to ensure generalizability beyond the training data.
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The systems do not learn beyond the regularities of the training data, however.
Finally, we assess whether our models are able to predict beyond the conditions of the training data: specifically, we test whether our models can predict expression under perturbation, such as mutation of TFs and their cognate enhancer binding sites, by comparing our predictions with independently published experimental results.
The largest shared overlap existing in the descriptor tree suggests that the Or-optimized descriptors link the known and the predicted receptor odor interactions and that our analysis may expand upon odorant receptor activity relationships beyond those previously known from the training data.
Further cross-validation against unseen enzyme superfamilies indicates that this classifier can successfully extrapolate beyond the classes of enzyme present in the training data.
It is people who provide the training data.
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