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  2. Vanilla Forums - Wikipedia

    en.wikipedia.org/wiki/Vanilla_Forums

    Vanilla OSS has a very lightweight core with a number of optional plugins, including chat, private messages, "Who's Online", and attachments. The most recent version (2.6.3) was released on September 23, 2018. Vanilla OSS is still maintained by the Vanilla team with help of the user community.

  3. Plug-in (computing) - Wikipedia

    en.wikipedia.org/wiki/Plug-in_(computing)

    In computing, a plug-in (or plugin, add-in, addin, add-on, or addon) is a software component that extends the functionality of an existing software system without requiring the system to be re-built. A plug-in feature is one way that a system can be customizable. [1] Applications support plug-ins for a variety of reasons including:

  4. Approximation error - Wikipedia

    en.wikipedia.org/wiki/Approximation_error

    Best rational approximants for π (green circle), e (blue diamond), ϕ (pink oblong), (√3)/2 (grey hexagon), 1/√2 (red octagon) and 1/√3 (orange triangle) calculated from their continued fraction expansions, plotted as slopes y/x with errors from their true values (black dashes)

  5. Mean absolute error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_error

    Help; Learn to edit; Community portal; Recent changes; Upload file; Special pages

  6. Propagation of uncertainty - Wikipedia

    en.wikipedia.org/wiki/Propagation_of_uncertainty

    An increasing positive correlation will decrease the variance of the difference, converging to zero variance for perfectly correlated variables with the same variance. On the other hand, a negative correlation ( ρ A B → − 1 {\displaystyle \rho _{AB}\to -1} ) will further increase the variance of the difference, compared to the uncorrelated ...

  7. Mean absolute percentage error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_percentage_error

    It is a variant of MAPE in which the mean absolute percent errors is treated as a weighted arithmetic mean. Most commonly the absolute percent errors are weighted by the actuals (e.g. in case of sales forecasting, errors are weighted by sales volume). [3] Effectively, this overcomes the 'infinite error' issue. [4]

  8. Symmetric mean absolute percentage error - Wikipedia

    en.wikipedia.org/wiki/Symmetric_mean_absolute...

    The absolute difference between A t and F t is divided by half the sum of absolute values of the actual value A t and the forecast value F t. The value of this calculation is summed for every fitted point t and divided again by the number of fitted points n.

  9. Rate–distortion optimization - Wikipedia

    en.wikipedia.org/wiki/Rate–distortion_optimization

    The deviation from the source is usually measured as the mean squared error, in order to maximize the PSNR video quality metric. Calculating the bit cost is made more difficult by the entropy encoders in modern video codecs, requiring the rate-distortion optimization algorithm to pass each block of video to be tested to the entropy coder to ...