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Modal windows are sometimes called heavy windows or modal dialogs because they often display a dialog box. User interfaces typically use modal windows to command user awareness and to display emergency states, though interaction designers argue they are ineffective for that use. [1] Modal windows are prone to mode errors. [1] [2] [3]
This is the message loop. There usually is a message loop in the main program, which runs on the main thread, and additional message loop in each created modal dialog. Messages for every window of the process pass through its message queue, and are handled by its message loop. A message loop is one kind of event loop.
TinyMCE is primarily a client-side application. It, consequently, does not include native file managers for various server technologies. Multiple file manager solutions have been produced, including several open source file manager solutions, and at least two proprietary projects, developed by Tiny Technologies and EdSDK.
A "save as" file dialog from GTK.The file browser is hidden inside a disclosure widget. An "open" file dialog opened from a web browser on Windows 10.. In computing, a file dialog (also called file selector/chooser, file requester, or open and save dialog) is a dialog box-type graphical control element that allows users to choose a file from the file system.
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A bootstrap paradox, also known as an information loop, an information paradox, [6] an ontological paradox, [7] or a "predestination paradox" is a paradox of time travel that occurs when any event, such as an action, information, an object, or a person, ultimately causes itself, as a consequence of either retrocausality or time travel.
The studentized bootstrap, also called bootstrap-t, is computed analogously to the standard confidence interval, but replaces the quantiles from the normal or student approximation by the quantiles from the bootstrap distribution of the Student's t-test (see Davison and Hinkley 1997, equ. 5.7 p. 194 and Efron and Tibshirani 1993 equ 12.22, p. 160):
Figure 1. A simple bimodal distribution, in this case a mixture of two normal distributions with the same variance but different means. The figure shows the probability density function (p.d.f.), which is an equally-weighted average of the bell-shaped p.d.f.s of the two normal distributions.