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High length scale values will be assigned to irrelevant features for the model.
It receives events from the CM and interprets them as feature actions (selection and deselection of features) for the Model Manager.
Table 5 Sets of features for the model with the best results (lowest RAE) Relief Manual selection Giant component; Giant component; Eigenvector centrality; Eigenvector centrality; Betweenness centrality; Clustering coefficient; Clustering coefficient and Structural equivalence and Time series prediction.
However, the only 4-mer in the list of the top 50 most important features for the model was 'CAC'CAC
This is because generally, as the number of tree grows, there would be more features for the model to consider from, and thus would be better for the classifier.
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The three affective ratings plus the POS tagging values constitute the four features for the modeling of text saliency.
These changes over time are used as features for the models as shown in Figure 1b.
Our hierarchical state-space framework allows us to specify informative prior distributions for those features of the model that we know something about.
To be of use, a mathematical model must make experimentally testable predictions and it should be clear which features of the model are critical for correspondence with experiment.
We then determined which of the four hypotheses cited above best accounted for variations in the features of the model.
In addition, AceK web server was developed using the SVM models with AAPC feature for the histone model, BLOSUM62, and AAPC features for the nonhistone model.
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