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Pronouns have the person feature, which can have a value of "first", "second", or "third". English pronouns also have the number feature, which can have a value of either "singular" or "plural". As a result, we can describe the English pronoun "they" as a pronoun with [person:3] and [number:plural].
A feature story is a piece of non-fiction writing about news covering a single topic in detail. A feature story is a type of soft news, [1] news primarily focused on entertainment rather than a higher level of professionalism. The main subtypes are the news feature and the human-interest story.
A semantic feature is a component of the concept associated with a lexical item ('female' + 'performer' = 'actress'). More generally, it can also be a component of the concept associated with any grammatical unit, whether composed or not ('female' + 'performer' = 'the female performer' or 'the actress').
A machining feature can be regarded as the volume swept by a "cutting" tool, [4] which is always a negative (subtracted) volume. Finally, there is also the concept of assembly feature, which encodes the assembly method between connected components. Feature data in CAD can be specified either as a collection of surfaces or as volumes.
The semantics of a feature model is the set of feature configurations that the feature model permits. The most common approach is to use mathematical logic to capture the semantics of a feature diagram. [5] Each feature corresponds to a boolean variable and the semantics is captured as a propositional formula. The satisfying valuations of this ...
An areal feature is contrasted with genetic relationship determined similarity within the same language family. Features may diffuse from one dominant language to neighbouring languages (see "sprachbund"). Genetic relationships are represented in the family tree model of language change, and areal relationships are represented in the wave model.
Feature article may refer to: Feature story , a piece of non-fiction writing about news covering a single topic in detail English Wikipedia § Wikiproject and assessment , article quality on the English Wikipedia
In machine learning, feature selection is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. Feature selection techniques are used for several reasons: simplification of models to make them easier to interpret, [1] shorter training times, [2] to avoid the curse of dimensionality, [3]