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Furthermore, an induced bias matrix is used to identify the inconsistent elements and improve the consistency ratio when conflicting weights in various tasks are assigned.
The tensor product β⊗ β generates a bias matrix that can be used to convert the raw contact map into a normalized contact map.
The output of this analysis is a 61 by 61 matrix termed the 'codon bias matrix' (the three stop codons were excluded from this matrix).
A network can have several layers; each layer has weight matrix (w), Bias matrix (b) and its special output (a).
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Even if a bias gradient matrix is given, it may not be suitable because a biased estimator reduces the variance obtained by any unbiased estimator at the cost of increasing the bias.
Under the weighted or spectral norm constraint on the bias gradient matrix of the biased estimator, a novel constrained biased CRB-based method is proposed to optimize the WCM and biased estimator such that the performance of parameter estimation can be improved.
This estimation was also performed using the LOO validation, which corrects biases in matrix sensitivity.
It is clear to see that the kernel matrices under the underfitting bias are flat matrices with all '1' entries, but the kernel matrices under the linear kernel appear to be normal for all three data sets, even if there are explicit and implicit label skewness biases for the BreastIBC and Kidney data respectively.
Asymptotic properties of the estimators are studied with respect to quadratic biases, MSE matrices and quadratic risks.
Quantitative result bias due to matrix effect and tryptic efficiency was corrected through the use of synthetic isotope-labeled standards.
In addition, quantification bias caused by matrix effects was investigated by comparison of calibration strategies: standard-based external calibration, isotope dilution, and standard addition with internal standards.
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