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https://www.amazon.com/Introduction-Support-Machines-Kernel-based-Learning/dp/0521780195
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods [Nello Cristianini, John Shawe-Taylor] on Amazon.com. *FREE* shipping on qualifying offers. This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory.Cited by: 20630
https://en.wikipedia.org/wiki/Support-vector_machine
The soft-margin support vector machine described above is an example of an empirical risk minimization (ERM) algorithm for the hinge loss. Seen this way, support vector machines belong to a natural class of algorithms for statistical inference, and many of its unique features are due to …
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 ... N. Cristianini, J. Shawe-Taylor, “Support Vector Machines and other kernel-based learning methods”. Cambridge University Press, 2000. C. Cortes, V. Vapnik, “Support vector networks”. Journal of Machine Learning, 20, 1995. ... machine learning ...
http://www.work.caltech.edu/~boswell/IntroToSVM.pdf
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 classi cation. The basic idea is to nd a hyperplane which separates the d-dimensional data perfectly into its two classes. However,
https://www.amazon.com/Introduction-Support-Machines-Kernel-based-Learning-ebook/product-reviews/B00AKE1PR8
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https://towardsdatascience.com/a-friendly-introduction-to-support-vector-machines-svm-925b68c5a079
Sep 06, 2019 · Introduction. Support Vector Machines(SVM) are among one of the most popular and talked about machine learning algorithms. They were extremely popular around the time they were developed in the 1990s and continue to be the go-to method for a …
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