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  2. Loss aversion - Wikipedia

    en.wikipedia.org/wiki/Loss_aversion

    Loss attention is consistent with several empirical findings in economics, finance, marketing, and decision making. Some of these effects have been previously attributed to loss aversion, but can be explained by a mere attention asymmetry between gains and losses.

  3. Loss functions for classification - Wikipedia

    en.wikipedia.org/wiki/Loss_functions_for...

    This conclusion makes the hinge loss quite attractive, as bounds can be placed on the difference between expected risk and the sign of hinge loss function. [1] The Hinge loss cannot be derived from (2) since f Hinge ∗ {\displaystyle f_{\text{Hinge}}^{*}} is not invertible.

  4. Loss function - Wikipedia

    en.wikipedia.org/wiki/Loss_function

    Leonard J. Savage argued that using non-Bayesian methods such as minimax, the loss function should be based on the idea of regret, i.e., the loss associated with a decision should be the difference between the consequences of the best decision that could have been made under circumstances will be known and the decision that was in fact taken before they were known.

  5. Huber loss - Wikipedia

    en.wikipedia.org/wiki/Huber_loss

    As defined above, the Huber loss function is strongly convex in a uniform neighborhood of its minimum =; at the boundary of this uniform neighborhood, the Huber loss function has a differentiable extension to an affine function at points = and =. These properties allow it to combine much of the sensitivity of the mean-unbiased, minimum-variance ...

  6. Taguchi loss function - Wikipedia

    en.wikipedia.org/wiki/Taguchi_loss_function

    This 'loss' is depicted by a quality loss function and it follows a parabolic curve mathematically given by L = k(y–m) 2, where m is the theoretical 'target value' or 'mean value' and y is the actual size of the product, k is a constant and L is the loss. This means that if the difference between 'actual size' and 'target value' i.e. (y–m ...

  7. Lost ending explained: What actually happened in the most ...

    www.aol.com/lost-ending-explained-actually...

    Lost, which has just been added to Netflix in the US, has the most misunderstood finale of all time.. Upon its initial broadcast, the divisive two-parter caused a large number of disappointed ...

  8. Expected loss - Wikipedia

    en.wikipedia.org/wiki/Expected_loss

    Expected loss is the sum of the values of all possible losses, each multiplied by the probability of that loss occurring. In bank lending (homes, autos, credit cards, commercial lending, etc.) the expected loss on a loan varies over time for a number of reasons. Most loans are repaid over time and therefore have a declining outstanding amount ...

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