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  2. Quantification (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Quantification_(machine...

    In machine learning and data mining, quantification (variously called learning to quantify, or supervised prevalence estimation, or class prior estimation) is the task of using supervised learning in order to train models (quantifiers) that estimate the relative frequencies (also known as prevalence values) of the classes of interest in a sample of unlabelled data items.

  3. Comparison of programming languages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_programming...

    1975-2013, R 0 RS, R 1 RS, R 2 RS, R 3 RS, R 4 RS, R 5 RS, R 6 RS, R 7 RS Small Edition [42] [43] Seed7: Application, general, scripting, web Yes Yes No No Yes Yes Multi-paradigm, extensible, structured No Simula: Education, general Yes Yes No No No No discrete event simulation, multi-threaded (quasi-parallel) program execution Yes 1968 Small Basic

  4. Bounded quantification - Wikipedia

    en.wikipedia.org/wiki/Bounded_quantification

    The purpose of bounded quantification is to allow for polymorphic functions to depend on some specific behaviour of objects instead of type inheritance.It assumes a record-based model for object classes, where every class member is a record element and all class members are named functions.

  5. Uncertainty quantification - Wikipedia

    en.wikipedia.org/wiki/Uncertainty_quantification

    Uncertainty quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world applications. It tries to determine how likely certain outcomes are if some aspects of the system are not exactly known.

  6. Quantifier (logic) - Wikipedia

    en.wikipedia.org/wiki/Quantifier_(logic)

    There are many integers n < 100, such that n is divisible by 2 or 3 or 5. One possible interpretation mechanism can be obtained as follows: Suppose that in addition to a semantic domain X , we have given a probability measure P defined on X and cutoff numbers 0 < a ≤ b ≤ 1.

  7. Static single-assignment form - Wikipedia

    en.wikipedia.org/wiki/Static_single-assignment_form

    Node 1 strictly dominates 2, 3, and 4 and the immediate predecessors of node 4 are nodes 2 and 3. Dominance frontiers define the points at which Φ functions are needed. In the above example, when control is passed to node 4, the definition of result used depends on whether control was passed from node 2 or 3.

  8. Quantification (science) - Wikipedia

    en.wikipedia.org/wiki/Quantification_(science)

    Frequently in the use of regression, the presence or absence of a trait is quantified by employing a dummy variable, which takes on the value 1 in the presence of the trait or the value 0 in the absence of the trait. Quantitative linguistics is an area of linguistics that relies on quantification.

  9. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics. [4] According to International Data Corporation , global spending on big data and business analytics (BDA) solutions is estimated to reach $215.7 ...