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Using the above evaluations we obtain inequalities (2.31).
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We generated simulated data under different levels of noise and evaluated the performance of our RMN algorithm by using the above mentioned four evaluation measures.
Table 3 provides the evaluation results on the PokerHand dataset using the above six classes.
Through straightforward algebra, it can be shown that the evaluation of the lower bound in Theorem 2 using the above choices gives the lower bound in Theorem 5.
Evaluation of intervention effectiveness will be by intention-to-treat using the above statistical tests.
Using the above Eqs.
using the above terminology.
Using the above method: 10x/2 = 5x.
Using numerical calculations, the above evaluation has been tested.
In the experiments, we used the above methods as comparative methods for evaluation of our method.
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