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ESANN
2007

Interval discriminant analysis using support vector machines

8 years 11 months ago
Interval discriminant analysis using support vector machines
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernels based on interval distances. We present here a novel approach, suitable for linear SVMs, which allows to deal with interval data without resorting to interval distances. The experimental results confirms the validity of our proposal.
Cecilio Angulo, Davide Anguita, Luis Gonzál
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ESANN
Authors Cecilio Angulo, Davide Anguita, Luis González
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