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Furthermore, a hierarchical clustering method followed by a random forest classification method is proposed to boost the classification performance among confusing classes.
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Indeed, during the last few decades, several solutions have been proposed to boost the performance of polymeric membranes.
Now, rules are being proposed to boost protections for survivors.
A sliding mode fuzzy controller is proposed to control boost converters.
To identify the most significant (boosted) features, it is proposed to apply the Adaboost method that resulted in an approximately tenfold decrease in the dimensionality of the feature space.
Therefore, based on the advantages of boosting algorithm, a hybrid forecasting method that combines boosting algorithm with the ARMA-MS model is proposed to improve the forecast accuracy.
Then, a novel method is proposed which combining boosting algorithm with ARMA-MS model.
An adaptive backstepping control scheme is proposed to design a missile autopilot during boost-phase.
After that, based on the GPBoost method, boosting algorithm using a correlation coefficients (BCC) was proposed to update the weights of calculation and improve accuracy of prediction [14, 20].
An efficient boosting algorithm named adaptive boost (AdaBoost) was proposed to solve many of the practical difficulties of earlier boosting algorithms [10].
ARPA-E, as expected, was proposed to receive a huge, $550 million boost.
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