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  2. Gamma distribution - Wikipedia

    en.wikipedia.org/wiki/Gamma_distribution

    In Bayesian inference, the gamma distribution is the conjugate prior to many likelihood distributions: the Poisson, exponential, normal (with known mean), Pareto, gamma with known shape σ, inverse gamma with known shape parameter, and Gompertz with known scale parameter.

  3. GAMA Platform - Wikipedia

    en.wikipedia.org/wiki/GAMA_Platform

    The GAMA Platform is agent-based modeling software that was originally (2007-2010) developed by the Vietnamese-French research team MSI (located at IFI, Hanoi, and part of the IRD - SU International Research Unit UMMISCO).

  4. Luma (video) - Wikipedia

    en.wikipedia.org/wiki/Luma_(video)

    Luma is the weighted sum of gamma-compressed R′G′B′ components of a color video—the prime symbols ′ denote gamma compression. The word was proposed to prevent confusion between luma as implemented in video engineering and relative luminance as used in color science (i.e. as defined by CIE ).

  5. Semiconductor detector - Wikipedia

    en.wikipedia.org/wiki/Semiconductor_detector

    Germanium detectors are mostly used for gamma spectroscopy in nuclear physics, as well as x-ray spectroscopy. While silicon detectors cannot be thicker than a few millimeters, germanium can have a sensitive layer (depletion region) thickness of centimeters, and therefore can be used as a total absorption detector for gamma rays up to a few MeV.

  6. Gamma correction - Wikipedia

    en.wikipedia.org/wiki/Gamma_correction

    Gamma correction is a type of power law function whose exponent is the Greek letter gamma (γ). It should not be confused with the mathematical Gamma function. The lower case gamma, γ, is a parameter of the former; the upper case letter, Γ, is the name of (and symbol used for) the latter (as in Γ(x)). To use the word "function" in ...

  7. Q-learning - Wikipedia

    en.wikipedia.org/wiki/Q-learning

    Q-learning is a model-free reinforcement learning algorithm that teaches an agent to assign values to each action it might take, conditioned on the agent being in a particular state.

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