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A semi-transparent background can be made less intrusive by having the whole background area function as a close button: this is standard on most mobile operating systems, avoids making the user feel trapped, and makes modal windows feel less like malicious pop-ups. Design should follow common practices in the platform the program is running on.
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.
Non-modal or modeless dialog boxes are used when the requested information is not essential to continue, and so the window can be left open while work continues elsewhere. A type of modeless dialog box is a toolbar which is either separate from the main application, or may be detached from the main application, and items in the toolbar can be used to select certain features or functions of the ...
In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of possible outcomes for an experiment.
In Smalltalk-80, a view is just a visual representation of a model, and does not handle user input. [19] With WebObjects, a view represents a complete user interface element such as a menu or button, and does receive input from the user. [20] In both Smalltalk-80 and WebObjects, however, views are meant to be general-purpose and composable. [21 ...
Example of a tabbed interface with two sets of tabs: Horizontal tabs, at the top, allow navigation to different pages within the Wiktionary website.Vertical tabs, to the left, represent languages in which a given spelling occurs, where the selected tab shows the word jam ('already') in Esperanto.
Despite the fact that discriminative models do not need to model the distribution of the observed variables, they cannot generally express complex relationships between the observed and target variables. But in general, they don't necessarily perform better than generative models at classification and regression tasks. The two classes are seen ...
The Heckman correction is a statistical technique to correct bias from non-randomly selected samples or otherwise incidentally truncated dependent variables, a pervasive issue in quantitative social sciences when using observational data. [1]