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http://www.work.caltech.edu/~boswell/IntroToSVM.pdf
Support Vector Machines were introduced by Vladimir Vapnik and col-leagues. The earliest mention was in (Vapnik, 1979), but the rst main paper seems to be (Vapnik, 1995). 1
https://www.coursehero.com/file/13102451/IntroToSVM/
Introduction to Support Vector Machines Dustin Boswell August 6, 2002 1 Description Support Vector Machines (SVM’s) are a relatively new learning method used for binary classification. The basic idea is to find a hyperplane which separates the d-dimensional data perfectly into its two classes.
https://b-ok.org/book/460029/bb90cc/
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods Nello Cristianini , John Shawe-Taylor This is the first comprehensive introduction to SVMs, a new generation learning system based on recent advances in statistical learning theory; it will help readers understand the theory and its real-world applications.
https://www.bibsonomy.org/bibtex/2ba26a8564de0a201f03cebbff6b2c228/macek
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https://docs.opencv.org/2.4/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.html
Support vectors. We use here a couple of methods to obtain information about the support vectors. The method CvSVM::get_support_vector_count outputs the total number of support vectors used in the problem and with the method CvSVM::get_support_vector we obtain each of the support vectors using an index. We have used this methods here to find the training examples that are support vectors and …
https://www.cc.gatech.edu/classes/AY2008/cs7641_spring/handouts/yor12-introsvm.pdf
An Introduction to Support Vector Machines for Data Mining Robert Burbidge, Bernard Buxton Computer Science Dept., UCL, Gower Street, WC1E 6BT, UK. Abstract With increasing amounts of data being generated by businesses and researchers there is a need for fast, accurate and robust algorithms for data analysis. Improvements in databases
https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47
Jun 07, 2018 · The objective of the support vector machine algorithm is to find a hyperplane in an N-dimensional space(N — the number of features) that distinctly classifies the data points. Possible hyperplanes To separate the two classes of data points, there are many possible hyperplanes that could be …
http://u.cs.biu.ac.il/~haimga/Teaching/AI/saritLectures/svm.pdf
Introduction to Support Vector Machines Starting from slides drawn by Ming-Hsuan Yang and Antoine Cornu´ejols 0.
https://dataaspirant.com/2017/01/13/support-vector-machine-algorithm/
Jan 13, 2017 · Vapnik & Chervonenkis originally invented support vector machine. At that time, the algorithm was in early stages. Drawing hyperplanes only for linear classifier was possible. Later in 1992 Vapnik, Boser & Guyon suggested a way for building a non-linear classifier. They suggested using kernel trick in SVM latest paper.
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