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Update of the error vector: e = x - F g k.
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Then we have the recursive update of the approximate error covariance matrix P b = Λ b - 1 + σ ̂ b - 2 G b ⊤ G b - 1 = P b - 1 - P b - 1 G b ⊤ σ ̂ b 2 I B + G b P b - 1 G b ⊤ - 1 G b P b - 1. (10).
News Update regrets the error.
As the weights are updated following the average of the error within the batch, we hoped that this stochastic mixing of the two error functions would help the maxout network avoid local minima.
In the second level, the solutions obtained from the first level are coordinated using a new gradient-type strategy, which is updated by the error of the coordination vector.
Based on it, the OFRMPC is proposed with an online update algorithm of the estimated error set.
The proposed sparsity-aware tracker employs the KF covariance recursion in (10) to update the error covariance of the corrector state estimate.
This paper systematically analyzes the subband/fullband weight transformation and the subband weight update process, investigates the adverse influences of the error path delay, and then introduces a closed-loop block update algorithm with error path delay compensation.
Then, ensemble NWP outputs are updated based on mean bias of the error fields considering error structure.
Since the augmented y ̄ k in (17b) is a nonlinear function of the wanted TSSG state, the EKF approach is adopted here to update the error covariance along the lines of, e.g., [1], Chap.
In words, Corollary 2 states that the SM-NLMS algorithm improves its estimate w k+1) every time an update is required and the energy of the error signal e 2(k) is dominated by (tilde {e}^{2} k)), the component of the error which is due to the mismatch between w(k) and w o.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com