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  2. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    Bootstrapping is any test or metric that uses random sampling with replacement (e.g. mimicking the sampling process), and falls under the broader class of resampling methods. Bootstrapping assigns measures of accuracy ( bias, variance, confidence intervals, prediction error, etc.) to sample estimates.

  3. Bootstrap (front-end framework) - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_(front-end...

    Bootstrap (formerly Twitter Bootstrap) is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains HTML, CSS and (optionally) JavaScript -based design templates for typography, forms, buttons, navigation, and other interface components. As of May 2023, Bootstrap is the 17th most starred ...

  4. Multimodal distribution - Wikipedia

    en.wikipedia.org/wiki/Multimodal_distribution

    In statistics, a multimodal distribution is a probability distribution with more than one mode (i.e., more than one local peak of the distribution). These appear as distinct peaks (local maxima) in the probability density function, as shown in Figures 1 and 2. Categorical, continuous, and discrete data can all form multimodal distributions.

  5. Modal clausal form - Wikipedia

    en.wikipedia.org/wiki/Modal_clausal_form

    Modal clausal form. Modal clausal form, also known as separated normal form by modal levels (SNF ml) [1] and Mints normal form, [2] is a normal form for modal logic formulae. Such a normal form is commonly used for automated theorem proving using tableau calculi and resolution calculi techniques due to its benefits of better space bounds and ...

  6. AdaBoost - Wikipedia

    en.wikipedia.org/wiki/AdaBoost

    AdaBoost, short for Adaptive Boosting, is a statistical classification meta-algorithm formulated by Yoav Freund and Robert Schapire in 1995, who won the 2003 Gödel Prize for their work. It can be used in conjunction with many other types of learning algorithms to improve performance. The output of the other learning algorithms ('weak learners ...

  7. Null distribution - Wikipedia

    en.wikipedia.org/wiki/Null_distribution

    Null distribution is a tool scientists often use when conducting experiments. The null distribution is the distribution of two sets of data under a null hypothesis. If the results of the two sets of data are not outside the parameters of the expected results, then the null hypothesis is said to be true. Null and alternative distribution.

  8. Covariance matrix - Wikipedia

    en.wikipedia.org/wiki/Covariance_matrix

    where the operator denotes the expected value (mean) of its argument.. Conflicting nomenclatures and notations. Nomenclatures differ. Some statisticians, following the probabilist William Feller in his two-volume book An Introduction to Probability Theory and Its Applications, call the matrix the variance of the random vector , because it is the natural generalization to higher dimensions of ...

  9. Mom defends idea that guests bring $5 for kid’s 1st ... - AOL

    www.aol.com/news/mom-defends-idea-guests-bring...

    Mom defends idea that guests bring $5 for kid’s 1st birthday to fund backyard renovation. One mother's plans for her 1-year-old's birthday are stirring a variety of reactions on TikTok. It all ...