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  2. Levels of Processing model - Wikipedia

    en.wikipedia.org/wiki/Levels_of_Processing_model

    There are three levels of processing in this model. Structural processing, or visual, is when we remember only the physical quality of the word (e.g. how the word is spelled and how letters look). Phonemic processing includes remembering the word by the way it sounds (e.g. the word tall rhymes with fall). Lastly, we have semantic processing in ...

  3. Structural equation modeling - Wikipedia

    en.wikipedia.org/wiki/Structural_equation_modeling

    Structural equation modeling (SEM) is a diverse set of methods used by scientists doing both observational and experimental research. SEM is used mostly in the social and behavioral sciences but it is also used in epidemiology, [2] business, [3] and other fields.

  4. Structural similarity index measure - Wikipedia

    en.wikipedia.org/wiki/Structural_similarity...

    Structural similarity index measure. The structural similarity index measure (SSIM) is a method for predicting the perceived quality of digital television and cinematic pictures, as well as other kinds of digital images and videos. It is also used for measuring the similarity between two images. The SSIM index is a full reference metric; in ...

  5. Partial least squares path modeling - Wikipedia

    en.wikipedia.org/wiki/Partial_least_squares_path...

    The structural model represents the relationships between the latent variables. An iterative algorithm solves the structural equation model by estimating the latent variables by using the measurement and structural model in alternating steps, hence the procedure's name, partial. The measurement model estimates the latent variables as a weighted ...

  6. Object recognition (cognitive science) - Wikipedia

    en.wikipedia.org/wiki/Object_recognition...

    Visual object recognition refers to the ability to identify the objects in view based on visual input. One important signature of visual object recognition is "object invariance", or the ability to identify objects across changes in the detailed context in which objects are viewed, including changes in illumination, object pose, and background ...

  7. Vector autoregression - Wikipedia

    en.wikipedia.org/wiki/Vector_autoregression

    Vector autoregression (VAR) is a statistical model used to capture the relationship between multiple quantities as they change over time. VAR is a type of stochastic process model. VAR models generalize the single-variable (univariate) autoregressive model by allowing for multivariate time series.

  8. Business Process Model and Notation - Wikipedia

    en.wikipedia.org/wiki/Business_Process_Model_and...

    Business Process Model and Notation (BPMN) is a standard for business process modeling that provides a graphical notation for specifying business processes in a Business Process Diagram (BPD), [3] based on a flowcharting technique very similar to activity diagrams from Unified Modeling Language (UML). [4] The objective of BPMN is to support ...

  9. Object Process Methodology - Wikipedia

    en.wikipedia.org/wiki/Object_Process_Methodology

    Object process methodology (OPM) is a conceptual modeling language and methodology for capturing knowledge and designing systems, specified as ISO/PAS 19450. [1] Based on a minimal universal ontology of stateful objects and processes that transform them, OPM can be used to formally specify the function, structure, and behavior of artificial and natural systems in a large variety of domains.