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- Johan A. K. Suykens, Joos Vandewalle
- Neural Processing Letters
- 1999

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 linearâ€¦ (More)

- Lieven De Lathauwer, Bart De Moor, Joos Vandewalle
- SIAM J. Matrix Analysis Applications
- 2000

We discuss a multilinear generalization of the singular value decomposition. There is a strong analogy between several properties of the matrix and the higher-order tensor decomposition; uniqueness,â€¦ (More)

- Lieven De Lathauwer, Bart De Moor, Joos Vandewalle
- SIAM J. Matrix Analysis Applications
- 2000

- Johan A. K. Suykens, Jos De Brabanter, Lukas Lukas, Joos Vandewalle
- Neurocomputing
- 2002

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 solutionâ€¦ (More)

In this paper we discuss a multilinear generalization of the best rank-R approximation problem for matrices, namely, the approximation of a given higher-order tensor, in an optimal leastsquaresâ€¦ (More)

- Tony Van Gestel, Johan A. K. Suykens, +5 authors Joos Vandewalle
- Machine Learning
- 2004

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 Squaresâ€¦ (More)

- Bart Preneel, RenÃ© Govaerts, Joos Vandewalle
- CRYPTO
- 1993

Constructions for hash functions based on a block cipher are studied where the size of the hashcode is equal to the block length of the block cipher and where the key size is approximately equal toâ€¦ (More)

- Lieven De Lathauwer, Bart De Moor, Joos Vandewalle
- IEEE Transactions on Biomedical Engineering
- 2000

We propose the emerging technique of independent component analysis, also known as blind source separation, as an interesting tool for the extraction of the antepartum fetal electrocardiogram fromâ€¦ (More)

- Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle
- Neural Computation
- 2002

The Bayesian evidence framework has been successfully applied to the design of multilayer perceptrons (MLPs) in the work of MacKay. Nevertheless, the training of MLPs suffers from drawbacks like theâ€¦ (More)