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The modeling activity consists of defining the feature model that represents the system assembly and other concerns (context conditions, user's requirements, etc).
Feature model is used to represent SPL.
The corresponding feature model is depicted in Fig. 10.
Fig. 2 Mapping system configuration to feature model configuration.
The relationships between these fragments are specified using feature model concepts itself leading to a specific kind of feature model called EvoFM.
Feature mapping (also referred to as feature conversion) involves obtaining a feature model in one domain given a feature model in another.
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We used the bag-of-feature model with the SIFT features for image representation.
Finally, fillers might increase discriminability, as Wetmore et al. (2015) claimed, but the diagnostic-feature model (Wixted & Mickes, 2014) has not yet been fit to data.
The experimental results indicate that the proposed mixed-feature model is feasible and outperforms the single-feature model.
Table 3 showed the features used in the final 6-feature model and their meanings.
Classification results were compared to the original datasets for up to 10-feature model classifiers.
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