setting parameter
11CMA-ES — stands for Covariance Matrix Adaptation Evolution Strategy. Evolution strategies (ES) are stochastic, derivative free methods for numerical optimization of non linear or non convex continuous optimization problems. They belong to the class of… …
12Help:User style — This Wikipedia help page is outdated. Please update this Wikipedia help page to reflect recent events or newly available information. Please see the talk page for more information. The user can customize fonts, colors, positions of links in the… …
13Command-line interface — Screenshot of a sample Bash session. GNOME Terminal 3, Fedora 15 …
14Monte Carlo integration — An illustration of Monte Carlo integration. In this example, the domain D is the inner circle and the domain E is the square. Because the square s area can be easily calculated, the area of the circle can be estimated by the ratio (0.8) of the… …
15Invariant estimator — In statistics, the concept of being an invariant estimator is a criterion that can be used to compare the properties of different estimators for the same quantity. It is a way of formalising the idea that an estimator should have certain… …
16Bell's theorem — is a theorem that shows that the predictions of quantum mechanics (QM) are not intuitive, and touches upon fundamental philosophical issues that relate to modern physics. It is the most famous legacy of the late physicist John S. Bell. Bell s… …
17Synthesizer — For other uses, see Synthesizer (disambiguation). Synth redirects here. For other uses, see Synth (disambiguation). See also: Software synthesizer Early Minimoog by R.A. Moog Inc. (ca. 1970) A synthesizer (often abbreviated synth ) is an… …
18Likelihood function — In statistics, a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, defined as follows: the likelihood of a set of parameter values given some observed outcomes is equal to the probability of …
19Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… …
20Lorentz group — Group theory Group theory …
