Wiki Support Vector

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Least-squares support-vector machine - Wikipedia

    https://en.wikipedia.org/wiki/Least-squares_support-vector_machine
    Least-squares support-vector machines (LS-SVM) are least-squares versions of support-vector machines (SVM), which are a set of related supervised learning methods that analyze data and recognize patterns, and which are used for classification and regression analysis.

Support Vector Machines Brilliant Math & Science Wiki

    https://brilliant.org/wiki/support-vector-machines/
    Support vector machines are a supervised learning method used to perform binary classification on data. They are motivated by the principle of optimal separation, the idea that a good classifier finds the largest gap possible between data points of different classes.

Support vector machine : Wikis (The Full Wiki)

    http://www.thefullwiki.org/Support_vector_machine
    Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. In simple words, given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that predicts whether a new example falls into one category or the other.

Talk:Support-vector machine - Wikipedia

    https://en.wikipedia.org/wiki/Talk:Support-vector_machine
    Support-vector machine is within the scope of WikiProject Robotics, which aims to build a comprehensive and detailed guide to Robotics on Wikipedia. If you would like to participate, you can choose to edit this article , or visit the project page ( Talk ), …

Linear Regression and Support Vector Regression

    https://cs.adelaide.edu.au/~chhshen/teaching/ML_SVR.pdf
    Linear Regression and Support Vector Regression Paul Paisitkriangkrai [email protected] The University of Adelaide 24 October 2012

What is the purpose of the support vector in SVM? - Quora

    https://www.quora.com/What-is-the-purpose-of-the-support-vector-in-SVM
    Jan 16, 2015 · A Support Vector Machine (SVM) performs classification by finding the hyperplane that maximizes the distance margin between the two classes. The extreme points in the data sets that define the hyperplane are the support vectors

Support (mathematics) - Wikipedia

    https://en.wikipedia.org/wiki/Support_(mathematics)
    In mathematics, the support of a real-valued function f is the subset of the domain containing those elements which are not mapped to zero. If the domain of f is a topological space, the support of f is instead defined as the smallest closed set containing all points not mapped to zero. This concept is used very widely in mathematical analysis



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