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Что (кто) такое expectation$26721$ - определение
LEGAL TEST REGARDING PRIVACY PROTECTIONS OF THE FOURTH AMENDMENT TO THE UNITED STATES CONSTITUTION
Reasonable expectation of privacy; Objective expectation of privacy; Subjective expectation of privacy; Expectation of privacy
Expected value
LONG-RUN AVERAGE VALUE OF A RANDOM VARIABLE
Expectation operator; Expectation (mathematics); Expectation value; Expectation Value; Mathematical expectancy; E value; Expected number; Expected monetary value; Expected values; Expected Monetary Value; Mathematical expectation; Expectation number; Sklansky Buck; E(X); Expected Value; Unconditional expectation; Expectation Operator; Linearity of expectation; Expect value; Expected payout; Expectation (statistics)
In probability theory, the expected value (also called expectation, expectancy, mathematical expectation, mean, average, or first moment) is a generalization of the weighted average. Informally, the expected value is the arithmetic mean of a large number of independently selected outcomes of a random variable.
expected value
LONG-RUN AVERAGE VALUE OF A RANDOM VARIABLE
Expectation operator; Expectation (mathematics); Expectation value; Expectation Value; Mathematical expectancy; E value; Expected number; Expected monetary value; Expected values; Expected Monetary Value; Mathematical expectation; Expectation number; Sklansky Buck; E(X); Expected Value; Unconditional expectation; Expectation Operator; Linearity of expectation; Expect value; Expected payout; Expectation (statistics)
¦ noun Mathematics a predicted value of a variable, calculated as the sum of all possible values each multiplied by the probability of its occurrence.
Expectation–maximization algorithm
![An animation demonstrating the EM algorithm fitting a two component Gaussian [[mixture model]] to the [[Old Faithful]] dataset. The algorithm steps through from a random initialization to convergence.](https://commons.wikimedia.org/wiki/Special:FilePath/Em old faithful.gif?width=200 "An animation demonstrating the EM algorithm fitting a two component Gaussian [[mixture model]] to the [[Old Faithful]] dataset. The algorithm steps through from a random initialization to convergence.")
ITERATIVE METHOD FOR FINDING MAXIMUM LIKELIHOOD ESTIMATES IN STATISTICAL MODELS
Expectation-Maximization; EM algorithm; Em algorithm; Expectation-maximisation algorithm; Expectation-maximization; Expectation Maximization; EM Algorithm; Expectation-Maximization Clustering; Expectation maximization algorithm; Expectation maximization; Expectation-maximisation; Expectation maximisation; Expectation maximization method; Expectation-maximization method; EM-algorithm; Expectation-maximization algorithm; EM clustering; Expectation Maximisation; Expectation maximization principle
In statistics, an expectation–maximization (EM) algorithm is an iterative method to find (local) maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. The EM iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step.
Википедия
Expectation of privacy (United States)
In United States constitutional law, expectation of privacy is a legal test which is crucial in defining the scope of the applicability of the privacy protections of the Fourth Amendment to the U.S. Constitution. It is related to, but is not the same as, a right to privacy, a much broader concept which is found in many legal systems (see privacy law). Overall, expectations of privacy can be subjective or objective.
