For example, someone who uses their car to accomplish the job of transporting kids to soccer practice might need a very different set of features than someone whose primary job is to shuttle elderly parents.
Therefore, a resulting set of features contains n · d features.
Each classifier is trained on a limited set of features.
□ After the removal of redundant features related to the seed feature set, one can eventually build a parsimonious set of features.
This required mapping of features between the chips in order to identify a common set of features between the chips.
A seed feature set, M s, is then a set of features led by f s that has an underlying order of features w.r.t.
Alternative features represent a selection "exactly-one-of-many" made from a set of features.
In CRF, this is done through a set of features.
A set of features is extracted from each EEG epoch.
C candidate is a set of features that is expected to be close to the optimal feature set for a data set and a classifier under consideration.
