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Exact(32)
In this context, this work proposes a Nonlinear Combination (NoLiC) method to combine forecasters.
The paper starts by introducing 4 models that are elaborations of the Reichardt detector: (1) multiple channels that explicitly construct higher order correlation statistics, (2) A static front end nonlinearity, (3) separate correlations between lights and darks, (4) nonlinear combination through operations other than multiplication.
The predicted output results from a nonlinear combination of these rules.
For this purpose, two linear and one nonlinear combination strategies are explored.
Nevertheless, the output of the system can be a nonlinear combination of the state variables.
To study the nonlinear combination of the parameters in the literature, we propose to use the SVM classifier.
Similar(28)
The proposed method relies on assessment of correlation coefficients as well as their linear and nonlinear combinations and provides 100% verification sensitivity combined with 18.1% erroneous verification rate in the PTB database, a widely used test set in literature, with a relatively short temporal interval of ECG acquisition and a limited number of healthy subjects (N = 14).
More complex or nonlinear combinations of the single factors would be possible, but the analyzed data do not justify an exponential, logarithmic, or nonequal weighted combination.
However, where there is temporal structure (as here), or worse, nonlinear combinations of sources (as here), BSS problems require additional prior information.
The nonlinear combinations of the metric terms also cause the algorithms based on curvilinear velocity components to be more difficult to satisfy the geometric conservation law and, hence, more sensitive to grid skewness effect.
This paper proposes a flexible approach that allows both linear and nonlinear combinations of biomarkers.
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