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The final prediction of the ensemble is obtained by voting using the optimal weight vector of classifiers.
Following the similar procedure for deriving the steady-state MSE of TDes, the optimal solution of TRTap can be acquired in terms of calculating steady-state MSE using the optimal weight w ̂ o as (21).
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Figure 6 shows the case of the generalized Gaussian mixed density function optimization based on the following three objectives with a balanced comprehensive optimization that indicates algorithm using the optimal weights μ can keep the characteristic distribution density function under conditions of integrated optimization.
In loop design, using the optimal weighting, the variance of the contrast between adjacent treatments is σ i ε 2 + σ i a 2 σ i ε 2 / 2 (σ i a 2 + σ i ε 2 ) while the variance of the contrast between diagonally opposite treatments is σ i ε 2 + σ i a 2 σ i ε 2 / (σ i a 2 + σ i ε 2 ).
To investigate the performance of the adaptive updating of the weights for this algorithm, we have used the optimal weights as initial weights.
Our main arguments use the optimal-weight convexity method and uniform observability inequalities with respect to the discretization parameters.
Unlike the linear case, using the optimal MRC weights at the receiver may not guarantee full antenna diversity.
The tolerance between the results of the simulation and the approximation model was less than 1% when using the optimal design variables and the weight of the optimized frame was lessened by 22.3% while the minimum fatigue life and maximum static stress were only decreased by 3.8% and 4.6%, compared with the initial frame.
The positive feedback weighting coefficient is designed by using the optimal control method.
Using Lagrangian method, the optimal weight coefficient of OSH and the threshold of the classifier can be obtained through any couple of support vectors of the two types.
The UV vis absorption spectrum was used to investigate the optimal weight ratio of the CNTs and polymer dispersant.
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