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  2. Decision boundary - Wikipedia

    en.wikipedia.org/wiki/Decision_boundary

    Decision boundaries are not always clear cut. That is, the transition from one class in the feature space to another is not discontinuous, but gradual. This effect is common in fuzzy logic based classification algorithms, where membership in one class or another is ambiguous. Decision boundaries can be approximations of optimal stopping boundaries.

  3. Ogive (statistics) - Wikipedia

    en.wikipedia.org/wiki/Ogive_(statistics)

    Along the horizontal axis, the limits of the class intervals for an ogive are marked. Based on the limit values, points above each are placed with heights equal to either the absolute or relative cumulative frequency. The shape of an ogive is obtained by connecting each of the points to its neighbours with line segments.

  4. One-class classification - Wikipedia

    en.wikipedia.org/wiki/One-class_classification

    In machine learning, one-class classification (OCC), also known as unary classification or class-modelling, tries to identify objects of a specific class amongst all objects, by primarily learning from a training set containing only the objects of that class, [1] although there exist variants of one-class classifiers where counter-examples are used to further refine the classification boundary.

  5. Axiom of limitation of size - Wikipedia

    en.wikipedia.org/wiki/Axiom_of_limitation_of_size

    Every class is a subclass of V, the class of all sets. [a] The axiom of limitation of size says that a class is a set if and only if it is smaller than V—that is, there is no function mapping it onto V. Usually, this axiom is stated in the equivalent form: A class is a proper class if and only if there is a function that maps it onto V.

  6. Multiclass classification - Wikipedia

    en.wikipedia.org/wiki/Multiclass_classification

    In machine learning and statistical classification, multiclass classification or multinomial classification is the problem of classifying instances into one of three or more classes (classifying instances into one of two classes is called binary classification). For example, deciding on whether an image is showing a banana, peach, orange, or an ...

  7. Entity–control–boundary - Wikipedia

    en.wikipedia.org/wiki/Entity–control–boundary

    The entity–control–boundary (ECB), or entity–boundary–control (EBC), or boundary–control–entity (BCE) is an architectural pattern used in use-case–driven object-oriented programming that structures the classes composing high-level object-oriented source code according to their responsibilities in the use-case realization.

  8. Limit (category theory) - Wikipedia

    en.wikipedia.org/wiki/Limit_(category_theory)

    The existence theorem for limits states that if a category C has equalizers and all products indexed by the classes Ob(J) and Hom(J), then C has all limits of shape J. [ 1 ] : §V.2 Thm.1 In this case, the limit of a diagram F : J → C can be constructed as the equalizer of the two morphisms [ 1 ] : §V.2 Thm.2

  9. Boundary value problem - Wikipedia

    en.wikipedia.org/wiki/Boundary_value_problem

    A large class of important boundary value problems are the Sturm–Liouville problems. The analysis of these problems, in the linear case, involves the eigenfunctions of a differential operator. To be useful in applications, a boundary value problem should be well posed. This means that given the input to the problem there exists a unique ...