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2. Bootstrap (front-end framework) - Wikipedia

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

   Bootstrap. 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 ...

3. Generic Bootstrapping Architecture - Wikipedia

   en.wikipedia.org/wiki/Generic_Bootstrapping...

   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 ).

4. Polyfill (programming) - Wikipedia

   en.wikipedia.org/wiki/Polyfill_(programming)

   Polyfill (programming) In software development, a polyfill is code that implements a feature of the development environment that does not natively support the feature. Most often, it refers to JavaScript code that implements an HTML5 or CSS web standard, either an established standard (supported by some browsers) on older browsers, or a ...

5. Bootstrapping Server Function - Wikipedia

   en.wikipedia.org/wiki/Bootstrapping_Server_Function

   A Bootstrapping Server Function (BSF) is an intermediary element in Cellular networks which provides application-independent functions for mutual authentication of user equipment and servers unknown to each other and for 'bootstrapping' the exchange of secret session keys afterwards. This allows the use of additional services like Mobile TV and ...

6. AOL

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   x. AOL works best with the latest versions of the browsers. You're using an outdated or unsupported browser and some AOL features may not work properly.

7. Bootstrapping - Wikipedia

   en.wikipedia.org/wiki/Bootstrapping

   Artificial intelligence and machine learning. Bootstrapping is a technique used to iteratively improve a classifier 's performance. Typically, multiple classifiers will be trained on different sets of the input data, and on prediction tasks the output of the different classifiers will be combined.