Loss Function

A loss function is a real lower-bounded function L on Θ × A for some θ ∈ Θ. The value L(θ, δ(X)) is the cost of action δ(X) under parameter θ.

Read more about Loss Function:  Decision Rules, Expected Loss, Selecting A Loss Function, Loss Functions in Bayesian Statistics, Regret, Quadratic Loss Function, 0-1 Loss Function

Famous quotes containing the words loss and/or function:

    Love seeketh only self to please,
    To bind another to its delight,
    Joys in another’s loss of ease,
    And builds a Hell in Heaven’s despite.
    William Blake (1757–1827)

    The information links are like nerves that pervade and help to animate the human organism. The sensors and monitors are analogous to the human senses that put us in touch with the world. Data bases correspond to memory; the information processors perform the function of human reasoning and comprehension. Once the postmodern infrastructure is reasonably integrated, it will greatly exceed human intelligence in reach, acuity, capacity, and precision.
    Albert Borgman, U.S. educator, author. Crossing the Postmodern Divide, ch. 4, University of Chicago Press (1992)