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  2. Latent and observable variables - Wikipedia

    en.wikipedia.org/wiki/Latent_and_observable...

    Other latent variables correspond to abstract concepts, like categories, behavioral or mental states, or data structures. The terms hypothetical variables or hypothetical constructs may be used in these situations. The use of latent variables can serve to reduce the dimensionality of data. Many observable variables can be aggregated in a model ...

  3. Dependent and independent variables - Wikipedia

    en.wikipedia.org/wiki/Dependent_and_independent...

    In mathematics, a function is a rule for taking an input (in the simplest case, a number or set of numbers) [5] and providing an output (which may also be a number). [5] A symbol that stands for an arbitrary input is called an independent variable, while a symbol that stands for an arbitrary output is called a dependent variable. [6]

  4. Latent variable model - Wikipedia

    en.wikipedia.org/wiki/Latent_variable_model

    A latent variable model is a statistical model that relates a set of observable variables (also called manifest variables or indicators) [1] to a set of latent variables. Latent variable models are applied across a wide range of fields such as biology, computer science, and social science. [ 2 ]

  5. Unpaired word - Wikipedia

    en.wikipedia.org/wiki/Unpaired_word

    An unpaired word is one that, according to the usual rules of the language, would appear to have a related word but does not. [1] Such words usually have a prefix or suffix that would imply that there is an antonym, with the prefix or suffix being absent or opposite.

  6. Local independence - Wikipedia

    en.wikipedia.org/wiki/Local_independence

    Within statistics, Local independence is the underlying assumption of latent variable models (such as factor analysis and item response theory models). The observed items are conditionally independent of each other given an individual score on the latent variable(s). This means that the latent variable(s) in a model fully explain why the ...

  7. Latent class model - Wikipedia

    en.wikipedia.org/wiki/Latent_class_model

    In statistics, a latent class model (LCM) is a model for clustering multivariate discrete data. It assumes that the data arise from a mixture of discrete distributions, within each of which the variables are independent. It is called a latent class model because the class to which each data point belongs is unobserved, or latent.

  8. Lexical resource - Wikipedia

    en.wikipedia.org/wiki/Lexical_resource

    Different standards for the machine-readable edition of lexical resources exist, e.g., Lexical Markup Framework (LMF) an ISO standard for encoding lexical resources, comprising an abstract data model and an XML serialization, [2] and OntoLex-Lemon, an RDF vocabulary for publishing lexical resources as knowledge graphs on the web, e.g., as Linguistic Linked Open Data.

  9. Latency (engineering) - Wikipedia

    en.wikipedia.org/wiki/Latency_(engineering)

    Latency, from a general point of view, is a time delay between the cause and the effect of some physical change in the system being observed. Lag, as it is known in gaming circles, refers to the latency between the input to a simulation and the visual or auditory response, often occurring because of network delay in online games.