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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.In this version one finds the solution by solving a set of linear equations instead of a convex quadratic programming (QP ...
https://www.worldscientific.com/worldscibooks/10.1142/5089
Nov 01, 2002 · This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual …
http://homepages.rpi.edu/~embrem/dm/Suykens_tutorialucl.pdf
Least Squares Support Vector Machines Johan Suykens K.U. Leuven, ESAT-SCD-SISTA Kasteelpark Arenberg 10 B-3001 Leuven (Heverlee), Belgium Tel: 32/16/32 18 02 - Fax: 32/16/32 19 70
http://support-vector-machines.org/SVM_soft.html
LS-SVMlab, by Suykens, is a MATLAB implementation of least squares support vector machines (LS-SVM) which reformulates the standard SVM leading to solving linear KKT systems. LS-SVM alike primal-dual formulations have been given to kernel PCA, kernel CCA and kernel PLS, thereby extending the class of primal-dual kernel machines.
https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47
Jun 07, 2018 · Support vector machine is another simple algorithm that every machine learning expert should have in his/her arsenal. Support vector machine is highly preferred by many as it produces significant accuracy with less computation power. Support Vector Machine, abbreviated as SVM can be used for both regression and classification tasks.
http://cs229.stanford.edu/notes/cs229-notes3.pdf
Support Vector Machines This set of notes presents the Support Vector Machine (SVM) learning al-gorithm. SVMs are among the best (and many believe are indeed the best) “off-the-shelf” supervised learning algorithms. To tell the SVM story, we’ll need to first talk about margins and the idea of separating data with a large “gap.”
https://machinelearningcoban.com/2017/04/09/smv/
Apr 09, 2017 · Bài toán tối ưu trong Support Vector Machine (SVM) chính là bài toán đi tìm đường phân chia sao cho margin là lớn nhất. Đây cũng là lý do vì sao SVM còn được gọi là Maximum Margin Classifier. Nguồn gốc của tên gọi Support Vector Machine sẽ sớm được làm sáng tỏ. 2.
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