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In order to validate the approaches, we considered two variables: consistency: the SPLS effectively converged to the SRLS during the learning process?
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The results validate the approach.
Experimental results validate the approach.
Simulation and experimental results are presented to validate the approach.
We validate the approach by presenting various numerical tests.
We validate the approach on a medium-sized example.
Experimental results are given to validate the approach.
Numerical simulation results are provided to validate the approach.
Their experiments validate the approach, achieving an accuracy rate of 92.14 %.
Some results were obtained in order to validate the approach using these two datasets completely classified.
In order to validate the approach, two tests have been performed.
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