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The negative values can be explained by the severe violation of Constraints (2, 3 and 10, which leads to a high penalization in the objective function value due to Eqs. (15)–(15).
Some cost-sensitive learning methods, such as AdaC1, AdaC2, AdaC3 [ 16], and AdaCost [ 21], extend AdaBoost with the pre-specified cost matrix, which gives high penalization to the misclassification of the samples in the minority class.
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This hundred-fold difference is caused by adjusted parameterization and weighting of descriptors in the first model, resulting in a higher overall penalization.
Subsequently, the decoder determining the most likely mixture sequence detects (with high mixture transition penalization) the speaker turns.
We used L2 penalization (penalizing the squared norm of the parameter vector).
A tolerance value, τ, specifies the fraction of stimulus variance and the number of stimulus dimensions, m, to preserve in the pseudoinverse C−1app:
Regression has been successfully adapted to high-dimensional situations by penalization methods (review by Hesterberg, 2008), and penalized regression has been shown to outperform univariate and other multivariate regression methods in multiple genomic datasets (Bøvelstad et al., 2007).
However, but for GRN reconstruction with samples ranging between 20-50, this penalization is too high.
Using the L 0. 5 norm within the regularizer would not cause the disproportionate penalization of individual high gradients.
A one-step approach for simultaneous design of H∞ controller and AWC by means of linear matrix inequalities (LMIs) is presented herein, which supports multi-objective synthesis to attain stabilization or tracking, robustness against disturbance and noise, and penalization of large and high frequency control signals.
It is suggested to use the elastic net penalization approach to deal with high-dimensional low-sample size survival data in an additive manner.
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