Call for NIPS 2008 Kernel Learning Workshop Submissions
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S.R. Gunn and M. Brown (1999)
SUPANOVA - A Sparse, Transparent Modelling Approach
In: Proc. IEEE Neural Networks for Signal Processing Workshop, IEEE Press.
This work describes a transparent, non-linear, modelling approach that enables constructed models to be visualised, enhancing their validation and interpretation. The method combines the representational advantage of a sparse ANOVA decomposition, with the generalisation ability of a SVM.