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  2. Bootstrap (front-end framework) - Wikipedia

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

    Bootstrap is a free and open-source library that simplifies the creation of responsive, mobile-first web pages with HTML, CSS and JS. It provides design templates, components and utilities for typography, forms, navigation, and more.

  3. Mobirise - Wikipedia

    en.wikipedia.org/wiki/Mobirise

    Mobirise is a drag and drop website builder that allows users to design and publish bootstrap websites without coding. It was released in 2015 and supports various themes, extensions, animations and mobile-friendly updates.

  4. Tailwind CSS - Wikipedia

    en.wikipedia.org/wiki/Tailwind_CSS

    Tailwind CSS is an open-source CSS framework that uses utility classes to style elements by mixing and matching. It offers features such as variants, settings, themes, and just-in-time mode.

  5. CSS framework - Wikipedia

    en.wikipedia.org/wiki/CSS_framework

    A CSS framework is a library for easier, more standards-compliant web design using CSS. Learn about its features, modules, tools, and examples of popular frameworks like Bootstrap and Foundation.

  6. Front-end web development - Wikipedia

    en.wikipedia.org/wiki/Front-end_web_development

    Cascading Style Sheets (CSS) controls the presentation aspect of the site and allows your site to have its own unique look. It does this by maintaining style sheets that sit on top of other style rules and are triggered based on other inputs, such as device screen size and resolution.

  7. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    Bootstrap aggregating, or bagging, is a machine learning ensemble meta-algorithm that improves stability and accuracy of classification and regression methods. It generates multiple training sets by sampling with replacement from the original dataset and combines the models by averaging or voting.

  8. Bootstrapping (statistics) - Wikipedia

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

    Bootstrapping is a procedure for estimating the distribution of an estimator by resampling data or a model. Learn the history, approach, advantages, disadvantages and applications of bootstrapping in statistics.

  9. Coupled pattern learner - Wikipedia

    en.wikipedia.org/wiki/Coupled_pattern_learner

    Meta-Bootstrap Learner (MBL) was also proposed by the authors of CPL. [2] Meta-Bootstrap learner couples the training of multiple extraction techniques with a multi-view constraint, which requires the extractors to agree. It makes addition of coupling constraints on top of existing extraction algorithms, while treating them as black boxes ...