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The CNN is capable of learning the visual features of the defined symbol categories from a few user-supplied prototypical diagrams and a set of synthetically generated training samples.
The size of e 9 corresponds to the number of generated training parameters.
In each different lags, the classifier is fed with the generated training data separately.
For this test, we generated training frames for a 4 × 4 MIMO system where each of the 16 training symbols was affected by a different SISO channel.
Results, presented in Table 4, are the average of 20 runs using randomly generated training, validation and test partitions for each run.
Finally, for each generic representation, we train a binary SVM classifier with a radial basis function kernel on the generated training set by using the implementation of LIBSVM library [25].
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Asynchronous simulation software is able to consider stochastically generated train paths within a timetable, following the scheduling rules and the train priorities.
This classical model generated train of evenly spaced action potentials when depolarizing current was injected via a simulated electrode.
Engineers often employ adversarial relationships between machines to improve outcomes — think using generative adversarial networks to generate training data by having a machine generate data looking to fool another "gatekeeper" machine.
Some random instance generators [42, 59, 135] are also applied to generate training and test instances for GP.
They use Twitter APIs to generate training and validation datasets.
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