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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. 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 ]

  4. Latent heat - Wikipedia

    en.wikipedia.org/wiki/Latent_heat

    Latent heat (also known as latent energy or heat of transformation) is energy released or absorbed, by a body or a thermodynamic system, during a constant-temperature process—usually a first-order phase transition, like melting or condensation.

  5. Latent space - Wikipedia

    en.wikipedia.org/wiki/Latent_space

    Latent spaces are usually fit via machine learning, and they can then be used as feature spaces in machine learning models, including classifiers and other supervised predictors. The interpretation of the latent spaces of machine learning models is an active field of study, but latent space interpretation is difficult to achieve.

  6. Virus latency - Wikipedia

    en.wikipedia.org/wiki/Virus_latency

    A latent viral infection is a type of persistent viral infection which is distinguished from a chronic viral infection. Latency is the phase in certain viruses' life cycles in which, after initial infection, proliferation of virus particles ceases. However, the viral genome is not eradicated.

  7. Latent learning - Wikipedia

    en.wikipedia.org/wiki/Latent_learning

    Latent learning is the subconscious retention of information without reinforcement or motivation. In latent learning, one changes behavior only when there is ...

  8. Latent class model - Wikipedia

    en.wikipedia.org/wiki/Latent_class_model

    Latent class analysis (LCA) is a subset of structural equation modeling, used to find groups or subtypes of cases in multivariate categorical data. These subtypes are called "latent classes". These subtypes are called "latent classes".

  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.