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Bootstrapping (compilers) In computer science, bootstrapping is the technique for producing a self-compiling compiler – that is, a compiler (or assembler) written in the source programming language that it intends to compile. An initial core version of the compiler (the bootstrap compiler) is generated in a different language (which could be ...
A single-page application ( SPA) is a web application or website that interacts with the user by dynamically rewriting the current web page with new data from the web server, instead of the default method of a web browser loading entire new pages. The goal is faster transitions that make the website feel more like a native app .
Apache Tapestry is an open-source component-oriented [clarification needed] Java web application framework conceptually similar to JavaServer Faces and Apache Wicket. [2] Tapestry was created by Howard Lewis Ship, [when?] and was adopted by the Apache Software Foundation as a top-level project in 2006.
Jami. Jami (formerly GNU Ring, SFLphone) is a SIP -compatible distributed peer-to-peer softphone and SIP -based instant messenger for Linux, Microsoft Windows, macOS, iOS, and Android . Jami was developed and maintained by the Canadian company Savoir-faire Linux, [5] [6] and with the help of a global community of users and contributors, Jami ...
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Static web pages are often HTML documents, [4] stored as files in the file system and made available by the web server over HTTP (nevertheless URLs ending with ".html" are not always static). However, loose interpretations of the term could include web pages stored in a database, and could even include pages formatted using a template and ...
The block bootstrap has been used mainly with data correlated in time (i.e. time series) but can also be used with data correlated in space, or among groups (so-called cluster data). Time series: Simple block bootstrap. In the (simple) block bootstrap, the variable of interest is split into non-overlapping blocks.
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...