Sentence examples for backward selections from inspiring English sources

This is because the bidirectional search algorithm (feature selection method) obtains a set of representative features that is achieved by iteratively applying sequential forward and backward selections to select good and remove bad features from the feature set, and further provides a solution that is close to optimal.

To overcome this problem we have devised a primal SVM method with the following properties: (1) it solves for the SVM representation without the need to invoke the representer theorem, (2) forward and backward selections are combined to approach the final globally optimal solution, and (3) a criterion is introduced for identification of support vectors leading to a much reduced support vector set.

Both forward and backward selections were used to find the most appropriate model.

Variables that showed significant differences in univariate analysis (P < 0.05) were the candidate predictor variables for the stepwise logistic regression analysis including both forward and backward selections.

Figure 3 summarizes the general framework applied in subchallenge 1. Sequential forward and backward selections are combined to implement the bidirectional search algorithm.

The bidirectional search algorithm finds a near-optimal set of features to predict the response of the cells to the drugs by combining the merits of sequential forward and backward selections.

Information seeking and deliberation were selected by backward selection only.

** Regional variables were selected using backward selection based on Wald test, p-values > 0.1.

= not selected by stepwise regression Stepwise regression (backward selection) of HSV-2 serostatus on selected covariables.

All covariates were selected using a backward selection (p<.05 to stay).

Important interactions were selected through stepwise backward selection (P<0.05).