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Loss function, in statistics, a function representing the cost associated with an event; Path loss, the attenuation undergone by an electromagnetic wave in transit from a transmitter to a receiver Free-space path loss, the loss in signal strength that would result if all influences were sufficiently removed having no effect on its propagation
Derailment can often be manifestly caused by intense emotions such as euphoria or hysteria. Some of the synonyms given above (loosening of association, asyndetic thinking) are used by some authors to refer just to a loss of goal: discourse that sets off on a particular
A no-win situation or lose–lose situation is an outcome of a negotiation, conflict or challenging circumstance in which all parties are worse off. It is an alternative to a win-win or outcome in which one party wins .
A loss of $0.05 is perceived as having a greater utility loss than the utility increase of a comparable gain. In cognitive science and behavioral economics, loss aversion refers to a cognitive bias in which the same situation is perceived as worse if it is framed as a loss, rather than a gain.
A losing streak and a winless streak are distinctively different, as a winless streak may include: tie games or draws; in first-class cricket, unfinished matches; in association football, ice hockey and some field hockey leagues where points are awarded for wins and drawn games, overtime or shootout losses if the draw at the end of regulation counts as a draw for points percentage.
In an electrical or electronic circuit or power system part of the energy in play is dissipated by unwanted effects, including energy lost by unwanted heating of resistive components (electricity is also used for the intention of heating, which is not a loss), the effect of parasitic elements (resistance, capacitance, and inductance), skin effect, losses in the windings and cores of ...
Hair shedding, vs. hair loss: what’s the difference? It’s an important distinction, especially when you’re starting to worry about androgenic alopecia (AKA male pattern baldness).
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.