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http://hdl.handle.net/1942/13013
Title: | A mixed effects least squares support vector machine model for classification of longitudinal data | Authors: | Luts, Jan MOLENBERGHS, Geert VERBEKE, Geert Van Huffel, Sabine Suykens, Johan A. K. |
Issue Date: | 2012 | Publisher: | ELSEVIER SCIENCE BV | Source: | COMPUTATIONAL STATISTICS & DATA ANALYSIS, 56 (3), p. 611-628 | Abstract: | A mixed effects least squares support vector machine (LS-SVM) classifier is introduced to extend the standard LS-SVM classifier for handling longitudinal data. The mixed effects LS-SVM model contains a random intercept and allows to classify highly unbalanced data, in the sense that there is an unequal number of observations for each case at non-fixed time points. The methodology consists of a regression modeling and a classification step based on the obtained regression estimates. Regression and classification of new cases are performed in a straightforward manner by solving a linear system. It is demonstrated that the methodology can be generalized to deal with multi-class problems and can be extended to incorporate multiple random effects. The technique is illustrated on simulated data sets and real-life problems concerning human growth. (C) 2011 Elsevier B.V. All rights reserved. | Notes: | [Luts, Jan; Van Huffel, Sabine; Suykens, Johan A. K.] Katholieke Univ Leuven, Dept Elect Engn ESAT, Res Div SCD, B-3001 Louvain, Belgium. [Luts, Jan; Van Huffel, Sabine; Suykens, Johan A. K.] IBBT KU Leuven Future Hlth Dept, Louvain, Belgium. [Molenberghs, Geert] Univ Hasselt, I BioStat, B-3590 Diepenbeek, Belgium. [Molenberghs, Geert; Verbeke, Geert] Katholieke Univ Leuven, I BioStat, B-3000 Louvain, Belgium. jan.luts@esat.kuleuven.be | Keywords: | Classification; Longitudinal data; Least squares; Support vector machine; Kernel method; Mixed model;computer science; interdisciplinary applications; statistics & probability; classification; longitudinal data; least squares; support vector machine; kernel method; mixed model | Document URI: | http://hdl.handle.net/1942/13013 | Link to publication/dataset: | ftp://ftp.esat.kuleuven.ac.be/sista/jluts/reports/mixedEffectsLSSVM.pdf | ISSN: | 0167-9473 | e-ISSN: | 1872-7352 | DOI: | 10.1016/j.csda.2011.09.008 | ISI #: | 000298122600014 | Rights: | © 2011 Elsevier B.V. All rights reserved. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2013 |
Appears in Collections: | Research publications |
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