enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Feature model - Wikipedia

    en.wikipedia.org/wiki/Feature_model

    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 ...

  3. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent some object. Many algorithms in machine learning require a numerical representation of objects, since such representations facilitate processing and statistical analysis.

  4. Spatial Archive and Interchange Format - Wikipedia

    en.wikipedia.org/wiki/Spatial_Archive_and...

    The classes belonging to the new schema are defined in CSN as subclasses of existing SAIF classes or as new enumerations. A ForestStand::MySchema for example could be defined with attributes including age, species, etc. and with ForestStand::MySchema specified as a subclass of GeographicObject, a feature defined in the SAIF standard. All user ...

  5. Geography Markup Language - Wikipedia

    en.wikipedia.org/wiki/Geography_Markup_Language

    For example, a Building feature in a particular GML application schema might have a position given by the primitive GML geometry object type Point. However, the Building is a separate entity from the Point that defines its position. In addition, a feature may have several geometry properties (or none at all), for example an extent and a position.

  6. Classification scheme (information science) - Wikipedia

    en.wikipedia.org/wiki/Classification_scheme...

    In information science and ontology, a classification scheme is an arrangement of classes or groups of classes. The activity of developing the schemes bears similarity to taxonomy, but with perhaps a more theoretical bent, as a single classification scheme can be applied over a wide semantic spectrum while taxonomies tend to be devoted to a single topic.

  7. Feature learning - Wikipedia

    en.wikipedia.org/wiki/Feature_learning

    In machine learning (ML), feature learning or representation learning [2] is a set of techniques that allow a system to automatically discover the representations needed for feature detection or classification from raw data. This replaces manual feature engineering and allows a machine to both learn the features and use them to perform a ...

  8. Class diagram - Wikipedia

    en.wikipedia.org/wiki/Class_diagram

    Class diagram showing generalization between the superclass Person and the two subclasses Student and Professor. The generalization relationship—also known as the inheritance or "is a" relationship—captures the idea of one class, the so-called subclass, being a specialized form of the other (the superclass, super type, or base class). Where ...

  9. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).