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Such judgments will typically be based on comparison with selected features of a limited set of exemplars.
Selected features of a filter will be successive collected till the moment that the filter can be evaluated by a meta-expression to a particular artifact template filter and the mapping realized.
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Thawornwong and Enke (2004) used this method to select features of an ANN.
We examined whether these selected features of MetSyn are additively associated with an increased risk of NTD.
Despite a clear tendency to overfit training data (the differences between training and testing curves in Figure 1 increased remarkably with just a few features) AŨC significantly increased in test data with the number of selected features, reaching a value of 0.779 with sixteen predictors.
Examination on prediction accuracies with respect to numbers of selected features showed a consistent trend of increasing first and decreasing afterwards with the increase of selected features (see four examples in Fig. 5).
The MaxRel feature list consists of the 500 preferentially selected features, where a small index of a feature means that the feature is highly correlated with the class label.
The mRMR feature list also consists of the 500 preferentially selected features, where a small index of a feature implies that the feature is very important for separating the hydroxylated sites and the non-hydroxylated sites.
We used a set of selected features to train a Random Forest (RF) machine learning algorithm to select the closest loop among a dataset of H3 loops present in immunoglobulins of known structure.
Additionally, using only 10 of the selected features and a simple statistical classifier, it was possible to determine the origin of the tortillas with a performance of 96%.
The highest ranked features form the final set of selected features, on which a predictive model may be subsequently trained.
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