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(3) Find the best polynomial orders for each interval using the order selection techniques introduced in Section Polynomial order selection.
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One immediate disadvantage of using the model order selection criterion is that since it is aimed at finding the optimal order among optional items.
To do so, we will select the L most relevant signatures using model order selection techniques [30].
Instead, we need to modify the GLRT in order to determine the appropriate value for L to be used, a task that can be done using model order selection techniques [30].
Significant interspecies protein interactions between C. albicans and zebrafish among these candidates were identified by removing false-positive interactions using model order selection techniques.
Find the polynomial orders using the model selection methods explained in Section Polynomial order selection (employing either MDL or CV through Equations 24 and 33, respectively).
The reconstruction of f from { f ̂ k } k = 1 K is given in the following steps: (1) Find the polynomial orders using the model selection methods explained in Section Polynomial order selection (employing either MDL or CV through Equations 24 and 33, respectively).
We formulated our model based on 11 preselected variables using binary logistic regression and evaluated the strength of support for each model (relative to all other models) using the second order model selection criterion AICc.
If P is unknown, it can be selected using some model order selection criterion [38].
Additionally, multiple logistic regression analysis was conducted using the forward selection method in order to investigate potential interactions between factors.
The data were analyzed with SAS statistical software (LOGISTIC procedure, SAS version 9.1; SAS Institute Inc., North Carolina), using the backward selection method in order to obtain the best-fitting model.
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