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https://www.nbtwiki.net/doku.php?id=tutorial:how_to_run_least-square_support_vector_machine_in_matlab
How to run least-square support vector machine in Matlab This tutorial describes how you can run a least-square support vector machine (LS-SVM) classification using the LS-SVM toolbox (http://www.esat.kuleuven.be/sista/lssvmlab/) You can read more about support vector machines and least-square support vector machines on Wikipedia.
https://www.esat.kuleuven.be/sista/lssvmlab/old/lssvmlab_paper0.pdf
Least Squares Support Vector Machines (LS-SVM) are re-formulations to the standard SVMs [6, 7]. The cost function is a regularized least squares function with equality constraints, leading to linear Karush-Kuhn-Tucker systems.
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.
https://www.mathworks.com/matlabcentral/answers/333848-how-to-use-least-squares-support-vector-machines-matlab-toolbox-for-classification-task
Apr 05, 2017 · How to use Least Squares - Support Vector... Learn more about classification, svm, lssvm . Toggle Main Navigation. Products; ... Support Vector Machines Matlab Toolbox for classification task ? Asked by Huda Diab Abdulgalil. Huda Diab Abdulgalil (view profile)
https://www.researchgate.net/post/How_to_use_Least_Squares-Support_Vector_Machines_Matlab_Toolbox_for_classification_task
I am working on project entitled "Load forecasting Using Least Square Support Vector Machine". I need a matlab code for load flow analysis using this method. If someone has worked on this topic ...
https://www.mathworks.com/help/stats/support-vector-machine-regression.html
Support vector machines for regression models. For greater accuracy on low- through medium-dimensional data sets, train a support vector machine (SVM) model using fitrsvm.. For reduced computation time on high-dimensional data sets, efficiently train a linear regression model, such as a linear SVM model, using fitrlinear.fitrsvm: Fit a support vector machine regression model
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://www.researchgate.net/publication/2854340_LS-SVMlab_a_MatlabC_toolbox_for_Least_Squares_Support_Vector_Machines
A recent overview on developments in the theory and algorithms of least squares support vector machines to which this LS-SVMlab toolbox is related is presented in [1]. Discover the world's ...
http://proceedings.mlr.press/v2/ye07a/ye07a.pdf
SVM versus Least Squares SVM Jieping Ye Department of Computer Science and Engineering Arizona State University Tempe, AZ 85287 Tao Xiong Department of Electrical and Computer Engineering University of Minnesota Minneapolis, MN 55455 Abstract We study the relationship between Support Vector Machines (SVM) and Least Squares SVM (LS-SVM). Our ...Author: Jieping Ye, Tao Xiong
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