A Multilinear Singular Value Decomposition
- L. Lathauwer, B. Moor, J. Vandewalle
- MathematicsSIAM Journal on Matrix Analysis and Applications
- 1 March 2000
There is a strong analogy between several properties of the matrix and the higher-order tensor decomposition; uniqueness, link with the matrix eigenvalue decomposition, first-order perturbation effects, etc., are analyzed.
Subspace Identification for Linear Systems: Theory ― Implementation ― Applications
- P. Overschee, B. Moor
- Computer Science
- 8 October 2011
This book focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finitedimensional dynamical systems, which allow for a fast, straightforward and accurate determination of linear multivariable models from measured inputoutput data.
On the Best Rank-1 and Rank-(R1 , R2, ... , RN) Approximation of Higher-Order Tensors
- L. Lathauwer, B. Moor, J. Vandewalle
- Mathematics, Computer ScienceSIAM Journal on Matrix Analysis and Applications
- 1 March 2000
A multilinear generalization of the best rank-R approximation problem for matrices, namely, the approximation of a given higher-order tensor, in an optimal least-squares sense, by a tensor that has prespecified column rank value, rowRank value, etc.
Assessing computational tools for the discovery of transcription factor binding sites
The purpose of the current assessment is to provide some guidance to users regarding the accuracy of currently available tools in various settings, and to provide a benchmark of data sets for assessing future tools.
N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems
- P. Overschee, B. Moor
- Computer Science, Mathematicsat - Automatisierungstechnik
- 3 January 1994
Gene prioritization through genomic data fusion
- S. Aerts, D. Lambrechts, Y. Moreau
- BiologyNature Biotechnology
- 1 May 2006
A bioinformatics approach, together with a freely accessible, interactive and flexible software termed Endeavour, to prioritize candidate genes underlying biological processes or diseases, based on their similarity to known genes involved in these phenomena, offers an alternative integrative method for gene discovery.
BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis
- S. Durinck, Y. Moreau, W. Huber
- Biology, Computer ScienceBioinform.
- 15 August 2005
The biomaRt package provides a tight integration of large, public or locally installed BioMart databases with data analysis in Bioconductor creating a powerful environment for biological data mining.
Least Squares Support Vector Machines
- J. Suykens, T. V. Gestel, J. D. Brabanter, B. Moor, J. Vandewalle
- Computer Science
- 14 November 2002
Support Vector Machines Basic Methods of Least Squares Support Vector Machines Bayesian Inference for LS-SVM Models Robustness Large Scale Problems LS-SVM for Unsupervised Learning LS-SVM for…
Subspace identification for linear systems
- P. Overschee, B. Moor
- Mathematics
- 1996
A note on persistency of excitation
- J. Willems, P. Rapisarda, I. Markovsky, B. Moor
- MathematicsIEEE Conference on Decision and Control
- 1 April 2005
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