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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 interpretations from optimization theory.
https://www.worldcat.org/title/least-squares-support-vector-machines/oclc/879025543
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 interpretations from optimization theory.
https://www.worldcat.org/title/least-squares-support-vector-machines/oclc/305127050
Get this from a library! Least squares support vector machines. [Johan A K Suykens;] -- Annotation. 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 ...
https://lirias2repo.kuleuven.be/bitstream/handle/123456789/218716/Suykens_NeurProcLett.pdf;sequence=2
are zero (nonzero values correspond to support vectors), in least squares SVM’s the support values are proportional to the errors. This paper is organized as follows. In Section 2 we review some basic work about support vector machine classifiers. In Section 3 we discuss the least squares support vector machine classifiers.
https://books.google.com/books/about/Least_Squares_Support_Vector_Machines.html?id=g8wEimyEmrUC
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 interpretations from optimization theory.
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.researchgate.net/publication/220578095_Least_Squares_Support_Vector_Machine_Classifiers
In least squares support vector machines (LS-SVMs) for function estimation Vapnik's ε-insensitive loss function has been replaced by a cost function which corresponds to a form of ridge regression.
https://arxiv.org/pdf/1505.05451v1
Fuzzy Least Squares Twin Support Vector Machines Javad Salimi Sartakhtia,, Nasser Ghadiri a, Homayun Afrabandpey , Narges Yousefnezhadb aDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, IRAN bDepartment of Computer Engineering, Sharif University of Technology, Tehran, 11365-11155, IRAN Abstract Least Squares Twin Support Vector Machine ...Cited by: 7
https://link.springer.com/article/10.1023%2FA%3A1018628609742
Abstract. In this letter we discuss a least squares version for support vector machine (SVM) classifiers. Due to equality type constraints in the formulation, the solution follows from solving a set of linear equations, instead of quadratic programming for classical SVM's.Cited by: 9151
http://www.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
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