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Suchergebnisse von der englischsprachigen Wikipedia.

  • certain random variables in them, and even more estimators can be represented as sums of random variables through the use of influence functions. The central…
    148 KB (22.626 Wörter) - 19:00, 5. Apr. 2025
  • effect of a third variable. Conversely, weak correlations can be "remarkable". For example, if a variable Y depends on several independent variables, the correlations…
    115 KB (14.450 Wörter) - 01:26, 12. Apr. 2025
  • Dispose of the values returned by a call Provide a private naming scope for variables Identify variables outside the function that are accessible within it…
    53 KB (6.531 Wörter) - 23:09, 9. Feb. 2025
  • Gradient descent (Weiterleitung von „Gradient descent method“)
    a method for unconstrained mathematical optimization. It is a first-order iterative algorithm for minimizing a differentiable multivariate function.…
    38 KB (5.382 Wörter) - 23:22, 11. Apr. 2025
  • using local variables inside functions when possible, then private variables (which only the object can use), and finally public variables (which can be…
    67 KB (7.159 Wörter) - 05:27, 17. Apr. 2025
  • one variable) or on the space of integrable functions (for the case of functions of several variables). For signals, especially, total variation refers…
    46 KB (5.874 Wörter) - 19:51, 15. Jan. 2025
  • up to 30000 variables have been reported. The earlier stated complexities with solving topology optimization problems using binary variables has caused…
    25 KB (2.670 Wörter) - 03:59, 17. Mär. 2025
  • complex problems. FEM is a general numerical method for solving partial differential equations in two- or three-space variables (i.e., some boundary value…
    61 KB (7.943 Wörter) - 04:58, 15. Apr. 2025
  • Factor analysis (Kategorie Latent variable models)
    a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables
    72 KB (10.023 Wörter) - 21:03, 7. Mär. 2025
  • Linear regression (Weiterleitung von „Error variable“)
    dependent variables rather than a single dependent variable. In linear regression, the relationships are modeled using linear predictor functions whose unknown…
    75 KB (10.427 Wörter) - 15:05, 8. Apr. 2025
  • Structural equation modeling (Kategorie Latent variable models)
    latent variables (variables thought to exist but which can't be directly observed). Additional causal connections link those latent variables to observed…
    87 KB (10.356 Wörter) - 20:04, 9. Feb. 2025
  • create a predictive model of the outcome variable. As in linear regression, the outcome variables Yi are assumed to depend on the explanatory variables x1…
    127 KB (20.645 Wörter) - 07:20, 16. Apr. 2025
  • dissimilarity easily deals with a large number of semi-continuous variables due to its intrinsic variable selection; for example, the "Addcl 1" random forest…
    46 KB (6.483 Wörter) - 16:03, 3. Mär. 2025
  • Histogram (Kategorie Commons category link is on Wikidata)
    of h that minimizes J will minimize integrated mean squared error. The choice is based on minimization of an estimated L2 risk function a r g m i n h…
    27 KB (3.334 Wörter) - 09:31, 24. Mär. 2025
  • predictors is larger than the sample size, allows the method to select strongly correlated variables together, and improves overall prediction accuracy.…
    52 KB (8.045 Wörter) - 09:10, 9. Mär. 2025
  • Importance sampling (Kategorie Monte Carlo methods)
    called an optimal biasing density function. Although there are many kinds of biasing methods, the following two methods are most widely used in the applications…
    26 KB (3.961 Wörter) - 01:45, 4. Apr. 2025
  • of the system, as well as energy threshold for minimization to occur. A range of other methods exist for solving simple as well as higher order MRFs…
    75 KB (9.662 Wörter) - 08:02, 3. Apr. 2025
  • Level-set method Level set (data structures) — data structures for representing level sets Sinc numerical methodsmethods based on the sinc function, sinc(x)…
    70 KB (8.335 Wörter) - 22:20, 17. Apr. 2025
  • which the variables are restricted to be either 0 or 1. Any bounded integer variable can be expressed as a combination of binary variables. For example…
    30 KB (4.192 Wörter) - 19:10, 14. Apr. 2025
  • model, non-robust methods like a t-test work poorly. Robust statistics seek to provide methods that emulate popular statistical methods, but are not unduly…
    46 KB (6.376 Wörter) - 14:11, 1. Apr. 2025
  • Markov decision process (MDP), Monte Carlo methods learn these functions through sample returns. The value functions and policies interact similarly to dynamic…
    64 KB (7.580 Wörter) - 07:29, 15. Apr. 2025