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  2. Red–black tree - Wikipedia

    en.wikipedia.org/wiki/Red–black_tree

    In computer science, a red–black tree is a self-balancing binary search tree data structure noted for fast storage and retrieval of ordered information. The nodes in a red-black tree hold an extra "color" bit, often drawn as red and black, which help ensure that the tree is always approximately balanced.

  3. Radial basis function kernel - Wikipedia

    en.wikipedia.org/wiki/Radial_basis_function_kernel

    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.

  4. Rational behavior therapy - Wikipedia

    en.wikipedia.org/wiki/Rational_Behavior_Therapy

    Rational behavior therapy (RBT) is a form of cognitive behavioral therapy developed by psychiatrist Maxie Clarence Maultsby Jr., a professor at the Medical College at Howard University. RBT is designed to be a short term therapy which is based on discovering an unsuspected problem which creates unwanted mental, emotional and physical behaviors ...

  5. Ringing tone - Wikipedia

    en.wikipedia.org/wiki/Ringing_tone

    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.

  6. Lift (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Lift_(mathematics)

    The morphism h is a lift of f (commutative diagram). In category theory, a branch of mathematics, given a morphism f: X → Y and a morphism g: Z → Y, a lift or lifting of f to Z is a morphism h: X → Z such that f = g∘h.

  7. Rule-based machine translation - Wikipedia

    en.wikipedia.org/wiki/Rule-based_machine_translation

    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.