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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
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 …
https://www.esat.kuleuven.be/sista/natoasi/suykens.pdf
https://www.amazon.com/Least-Squares-Support-Vector-Machines/dp/9812381511
Mar 27, 2014 · Least Squares Support Vector Machines [Johan A K Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor, Joos Vandewalle] on Amazon.com. *FREE* shipping on qualifying offers. 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 …Cited by: 5178
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In least squares support vector machines (LS-SVMs) for function estimation Vapnik's ε-insensitive loss function has been replaced by a cost function which corresponds to a form of ridge regression.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://people.eecs.berkeley.edu/~chua/papers/Suykens00.pdf
Recurrent Least Squares Support Vector Machines J. A. K. Suykens and J. Vandewalle Abstract— The method of support vector machines (SVM’s) has been de-veloped for solving classification and static function approximation prob-lems. In this paper we introduce SVM’s within the context of …
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. The authors explain the natural links between LS-SVM classifiers and kernel Fisher discriminant analysis.
https://b-ok.org/book/539729/b3d4fb
Johan A K Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor, Joos Vandewalle Focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. Authors explain the natural links between LS-SVM classifiers and kernel Fisher discriminant analysis.
https://www.academia.edu/13047813/Least_squares_support_vector_machine_classifiers
Least Squares Support Vector Machine Classifiers J.A.K. Suykens and J. Vandewalle Katholieke Universiteit Leuven Department of Electrical Engineering, ESAT-SISTA Kardinaal Mercierlaan 94, B-3001 Leuven (Heverlee), Belgium Email: [email protected] August 1998 Abstract.
https://www.semanticscholar.org/paper/Sparse-approximation-using-least-squares-support-Suykens-Lukas/22c1af9ee1e6f33ca583f895e6615ae77f04e061
Sparse approximation using least squares support vector machines @article{Suykens2000SparseAU, title={Sparse approximation using least squares support vector machines}, author={Johan A. K. Suykens and Lukas Lukas and Joos Vandewalle}, journal={2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century.
https://www.sciencedirect.com/science/article/pii/S0925231201006440
Least squares support vector machines (LS-SVM) is an SVM version which involves equality instead of inequality constraints and works with a least squares cost function. In this way, the solution follows from a linear Karush–Kuhn–Tucker system instead of a quadratic programming problem.
https://www.semanticscholar.org/paper/Optimal-control-by-least-squares-support-vector-Suykens-Vandewalle/8e561ff532f46441c6037b1f6381bd7c24e03e9a
Support vector machines have been very successful in pattern recognition and function estimation problems. In this paper we introduce the use of least squares support vector machines (LS-SVM's) for the optimal control of nonlinear systems. Linear and neural full static state feedback controllers are …
https://www.academia.edu/21678942/Multiclass_least_squares_support_vector_machines
Multiclass least squares support vector machines
https://www.sciencedirect.com/science/article/pii/S0925231217318623
In this paper we proposed a new model called Multi-View Least Squares Support Vector Machines (MV-LSSVM) Classification that exploits information from two or more views when performing classification. The model is based on LS-SVM classification where coupling of the different views is obtained by an additional coupling term in the primal model.
https://link.springer.com/content/pdf/10.1023%2FA%3A1018628609742.pdf
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. The approach is illustrated on a two-spiral benchmark classification problem.
https://dl.acm.org/citation.cfm?id=326408
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.
https://link.springer.com/article/10.1023%2FB%3AMACH.0000008082.80494.e0
In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a (convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function is proposed so as to obtain a linear set of equations in the dual space. While the SVM classifier has a large margin interpretation, the LS ...
https://peterwittek.com/understanding-quantum-svms.html
Aug 15, 2013 · Understanding quantum support vector machines Posted on 15 August 2013. A fascinating paper recently appeared on arXiv that proves the exponential speedup of least-squares support vector machines (SVMs) using quantum computing (Rebentrost et al., 2013). While the five-page eprint is fairly accessible to readers who are not well-versed in ...
https://pdfs.semanticscholar.org/e67b/46483417a769baaecb4e9e8b66c99b9b0174.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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