ITEM METADATA RECORD
Title: Componentwise support vector machines for structure detection
Authors: Pelckmans, Kristiaan ×
Suykens, Johan
De Moor, Bart #
Issue Date: 2005
Publisher: Springer-verlag berlin
Host Document: Proc. of the International Conference on Artificial Neural Networks (ICANN 2005) vol:3697 pages:643-648
Conference: International Conference on Artificial Neural Networks (ICANN 2005) location:Warsaw, Poland date:Sep. 2005
Abstract: This paper extends recent advances in Support Vector Machines and kernel machines in estimating additive models for classification from observed multivariate input/output data. Specifically, we address the question how to obtain predictive models which gives insight into the structure of the dataset. This contribution extends the framework of structure detection as introduced in recent publications by the authors towards estimation of component-wise Support Vector Machines (cSVMs). The result is applied to a benchmark classification task where the input variables all take binary values.
Description: \emph{Proc. of the International Conference on Artificial Neural Networks (ICANN 2005)}, Warsaw, Poland, Sep. 2005
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IC
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
× corresponding author
# (joint) last author

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