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The weight is given by the likelihood ratio, that is, the Radon–Nikodym derivative of the true underlying distribution with respect to the biased simulation distribution. The fundamental issue in implementing importance sampling simulation is the choice of the biased distribution which encourages the important regions of the input variables.
A weighted decision matrix operates in the same way as the basic decision matrix but introduces the concept of weighting the criteria in order of importance. The more important the criterion the higher the weighting it should be given.
A commonly used weighting is the A-weighting curve, which results in units of dBA sound pressure level. Because the frequency response of human hearing varies with loudness, the A-weighting curve is correct only at a level of 40- phon and other curves known as B- , C- and D-weighting are also used, the latter being particularly intended for the ...
Vowpal Wabbit provides an efficient scalable out-of-core implementation with support for a number of machine learning reductions, importance weighting, and a selection of different loss functions and optimization algorithms.
The time factor is of considered of minimal importance in this context as the task is routine and is therefore not limited by time. The importance of each factor can be observed through the allocated weighting, as provided below. Note that they have been normalised to sum to unity.
Blood pressure, which can be affected by our weight, is a very important health marker. In fact, it can have just as much, if not more, impact on our health outcomes than our weight, advises Nadolsky.
Both are important measures of health, but body fat — and whether you store it around your middle — may be more helpful in determining whether you have a healthy weight or a higher risk for ...
A node with priority .200 has twice the weight in reaching the goal as one with priority .100, ten times the weight of one with priority .020, and so forth. Depending on the problem at hand, "weight" can refer to importance, or preference, or likelihood, or whatever factor is being considered by the decision makers.