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  2. Linear separability - Wikipedia

    en.wikipedia.org/wiki/Linear_separability

    Suppose some data points, each belonging to one of two sets, are given and we wish to create a model that will decide which set a new data point will be in. In the case of support vector machines , a data point is viewed as a p -dimensional vector (a list of p numbers), and we want to know whether we can separate such points with a ( p − 1 ...

  3. Kirchberger's theorem - Wikipedia

    en.wikipedia.org/wiki/Kirchberger's_theorem

    Kirchberger's theorem is a theorem in discrete geometry, on linear separability.The two-dimensional version of the theorem states that, if a finite set of red and blue points in the Euclidean plane has the property that, for every four points, there exists a line separating the red and blue points within those four, then there exists a single line separating all the red points from all the ...

  4. File:Sample book from Pediapress.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Sample_book_from_Pedi...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  5. Cover's theorem - Wikipedia

    en.wikipedia.org/wiki/Cover's_Theorem

    The left image shows 100 points in the two dimensional real space, labelled according to whether they are inside or outside the circular area. These labelled points are not linearly separable, but lifting them to the three dimensional space with the kernel trick, the points becomes linearly separable. Note that in this case and in many other ...

  6. Separability - Wikipedia

    en.wikipedia.org/wiki/Separability

    Separable filter, a product of two or more simple filters in image processing; Separable ordinary differential equation, a class of equations that can be separated into a pair of integrals; Separable partial differential equation, a class of equations that can be broken down into differential equations in fewer independent variables

  7. Perceptron - Wikipedia

    en.wikipedia.org/wiki/Perceptron

    Each step adds to by a point in the samples, and since all the samples have , the weight vector must move along by at least . Since the norm grows like t {\displaystyle {\sqrt {t}}} but the x 1 {\displaystyle x_{1}} -component grows like t {\displaystyle t} , this would eventually force the weight vector to point almost entirely in the x 1 ...

  8. Line (geometry) - Wikipedia

    en.wikipedia.org/wiki/Line_(geometry)

    In an axiomatic formulation of Euclidean geometry, such as that of Hilbert (modern mathematicians added to Euclid's original axioms to fill perceived logical gaps), [1]: 108 a line is stated to have certain properties that relate it to other lines and points. For example, for any two distinct points, there is a unique line containing them, and ...

  9. Multi-surface method - Wikipedia

    en.wikipedia.org/wiki/Multi-surface_method

    Given two finite disjoint point sets ,, find a discriminant, : such that () >, (). If the intersection of convex hulls of the two sets is the empty set, then it is possible to use a single linear program to obtain a linear discriminant of the form, f ( x ) = c x + γ {\displaystyle f(x)=cx+\gamma } .