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It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision. [2]
Once you have made the template—for example Template:foo—you can add {{foo}} to the pages that you want to use it on. Every page using this template uses the same boilerplate text each time that a user visits it. When the template is updated, all pages containing the template tag are automatically updated.
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The term template, when used in the context of word processing software, refers to a sample document that has already some details in place; those can (that is added/completed, removed or changed, differently from a fill-in-the-blank of the approach as in a form) either by hand or through an automated iterative process, such as with a software assistant.
In computer vision, the bag-of-words model (BoW model) sometimes called bag-of-visual-words model [1] [2] can be applied to image classification or retrieval, by treating image features as words. In document classification , a bag of words is a sparse vector of occurrence counts of words; that is, a sparse histogram over the vocabulary.
Office Open XML (OOXML) format was introduced with Microsoft Office 2007 and became the default format of Microsoft Word ever since. Pertaining file extensions include:.docx – Word document.docm – Word macro-enabled document; same as docx, but may contain macros and scripts.dotx – Word template.dotm – Word macro-enabled template; same ...
For example, the Y12 uranium enrichment plant in Tennessee required 14,700 tons of silver loaned by the Treasury Department for the windings in its calutrons, employed 22,000 people and consumed more electrical power than most states. Reactor B on the other hand needed only a few dozen employees and far fewer exotic materials required in much ...