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  1. Bootstrap (фронт-енд фрејмворк) Бутстреп енгл. Bootstrap. HTML, CSS, Less (вер. 3), Sass (вер. 4) и JavaScript. Bootstrap ( транскр. Бутстреп) представља бесплатни веб фрејмворк отвореног кода, за креирање веб сајтова и веб ...

  2. Bootstrapping (law) The bootstrapping rule in the rules of evidence dealt with admissibility as non- hearsay of statements of conspiracy in United States federal courts. The rule, in a criminal prosecution for conspiracy, was that the court, in deciding whether to allow the jury to consider a statement of conspiracy, cannot hear the statement ...

  3. Bootstrap error-adjusted single-sample technique. In statistics, the bootstrap error-adjusted single-sample technique ( BEST or the BEAST) is a non-parametric method that is intended to allow an assessment to be made of the validity of a single sample. It is based on estimating a probability distribution representing what can be expected from ...

  4. On the irc.freenode.net server, in the ##bootstrap channel. Implementation help may be found at Stack Overflow (tagged bootstrap-4). Developers should use the keyword bootstrap on packages which modify or add to the functionality of Bootstrap when distributing through npm or similar delivery mechanisms for maximum discoverability.

  5. Generic Bootstrapping Architecture. Generic Bootstrapping Architecture ( GBA) is a technology that enables the authentication of a user. This authentication is possible if the user owns a valid identity on an HLR ( Home Location Register) or on an HSS ( Home Subscriber Server ).

  6. getbootstrap.com › docs › 4About · Bootstrap

    Aug 19, 2011 · Originally created by a designer and a developer at Twitter, Bootstrap has become one of the most popular front-end frameworks and open source projects in the world. Bootstrap was created at Twitter in mid-2010 by @mdo and @fat. Prior to being an open-sourced framework, Bootstrap was known as Twitter Blueprint. A few months into development ...

  7. In statistics, bootstrapping is a modern, computer-intensive, general purpose approach to statistical inference, falling within a broader class of resampling methods. Bootstrapping is the practice of estimating properties of an estimator (such as its variance) by measuring those properties when sampling from an approximating distribution.

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