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Free and open-source software portal; This is a category of articles relating to notetaking software which can be freely used, copied, studied, modified, and redistributed by everyone that obtains a copy: "free software" or "open-source software".
Rule-based machine translation (RBMT; "Classical Approach" of MT) is machine translation systems based on linguistic information about source and target languages basically retrieved from (unilingual, bilingual or multilingual) dictionaries and grammars covering the main semantic, morphological, and syntactic regularities of each language respectively.
Download QR code; Print/export Download as PDF; Printable version; In other projects ... RBT may refer to: Computing. Red–black tree, in computer science;
In machine learning, the radial basis function kernel, or RBF kernel, is a popular kernel function used in various kernelized learning algorithms. In particular, it is commonly used in support vector machine classification.
Unlike the RBT, the IRRBT is often generated in the nearest switch and transmitted in-band, so the IRRBT will take precedence if both are configured. [citation needed] Social network ringback tones provide interactive social network content to subscribers. Mixcess is the first platform (social network) using IRRBTs in the United States.
It is a very fast sub-type of LFSR generators. Marsaglia also suggested as an improvement the xorwow generator, in which the output of a xorshift generator is added with a Weyl sequence. The xorwow generator is the default generator in the CURAND library of the nVidia CUDA application programming interface for graphics processing units.
A story generator or plot generator is a tool that generates basic narratives or plot ideas. The generator could be in the form of a computer program, a chart with multiple columns, a book composed of panels that flip independently of one another, or a set of several adjacent reels that spin independently of one another, allowing a user to select elements of a narrative plot.
A rapidly exploring random tree (RRT) is an algorithm designed to efficiently search nonconvex, high-dimensional spaces by randomly building a space-filling tree.The tree is constructed incrementally from samples drawn randomly from the search space and is inherently biased to grow towards large unsearched areas of the problem.