SUPANOVA - a sparse, transparent modelling approach

Gunn, S. R. and Brown, M. (1999) SUPANOVA - a sparse, transparent modelling approach. Neural Networks for Signal Processing IX: IEEE Signal Processing Society Workshop, , Madison, WI, United States. 25 Aug 1999. pp. 21-30 . (doi:10.1109/NNSP.1999.788119).

Record type: Conference or Workshop Item (Other)

Abstract

Traditional neural networks produce opaque models that are difficult to interpret. This work describes a transparent, non-linear, modelling approach that enables the constructed models to be visualised, enhancing their validation and interpretation. The technique combines the representational advantage of a sparse ANOVA decomposition, with the good generalisation ability of a support vector machine.

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Published date: 1999

Additional Information: Organisation: IEEE Address: Madison, Wisconsin

Venue - Dates: Neural Networks for Signal Processing IX: IEEE Signal Processing Society Workshop, , Madison, WI, United States, 1999-08-25 - 1999-08-25

Organisations: Electronic & Software Systems

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