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Structures can easily be formed in silicone phantoms through sequential molding, i.e., by curing each desired feature sequentially.
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Nonnegative matrix underapproximation (NMU) is a closely related technique that has the advantage to identify features sequentially.
We add features sequentially to the classification models and observe how the accuracy changes.
By adding these features sequentially from the higher to lower ranks, 400 feature sets would be obtained.
We start with a complete set of features and sequentially remove those features that reduce the T2 value the least.
Second, most current MI-based approaches perform feature selection sequentially starting from high-ranked features.
We then use a pointer to scan through all the genetic variants and all the genomic feature regions sequentially.
Fig. 6 shows the monotonic decrease in the T2 value where, at every stage, the least important feature is sequentially removed for each wild type vs. mutant pair.
In addition, we expect that the robust performance of our Bayesian approach can also benefit from the embedded winner's curse correction in our model and the reduction of the propagations of uncertainties (introduced from performing normalization, imputation, and feature extraction sequentially rather than in one integrative step).
The Sequential Backward Selection (SBS) is chosen in the selection procedure, in which the features are sequentially removed from a full candidate set until the removal of further features increases the criterion.
As the name suggests, this watch features a sequentially moving dial with jump-hour movement and a patented system for rotating a minutes disk, while storing energy.
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