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Winbugs
Глоссарий по искусственному интеллекту |
See: bugs.
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Quadratic scoring rule, английский
See: brier scoring rule. quasi-bayesian theory bayesian methods for representing uncertainty in decision and inference problems assume that the uncertainty can be represented by a single probability distribution. however, in practice, it is often difficult to specify a single distribution for states of an attributes. this may be due to incomplete knowledge about the attributes or to an inability or lack of desire to specify a single distribution. quasi-bayesian theory offers a generalization of classical bayesian theory to encompass these situations, by allowing operations on a set of distributions. in particular, since it is concerned with linear operations on these distributions (e.g., average gains or losses), it works with convex sets of distributions. see also: lower expectation.
Ensemble learning, английский
See: committee of experts methods.
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