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The adjusted sire means were ordered, and each was assigned to one of K equal-sized classes in order to keep a balance between sizes of training samples falling into each category.
The classification performance of the two methods is tested at varying sizes of training sets.
Additionally, the prediction performance is tested for different network configurations, different sizes of training sets, and different KPIs. 4.
In this subsection, contextual regions of HMEM are defined heuristically and it is fixed for different sizes of training database.
Figure 9 Recognition accuracy comparison for six blocking methods using CCLTP under different sizes of training data.
This technique has been tested for various sizes of training and testing data and performed very well.
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We then extend our approach to determine the size of training set given a tolerance of approximation error.
We found that the level of accuracy with the size of training set varies for different algorithms.
But, an accurate forward map would require a very large size of training data as well as network architecture.
A reduction in the size of training sets also allows the Levenberg Marquardt algorithm to be implemented.
A training data generation method is introduced, which reduces the size of training data by generating the states near the hyperplane.
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