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NIPS
2004

A Second Order Cone programming Formulation for Classifying Missing Data

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A Second Order Cone programming Formulation for Classifying Missing Data
We propose a convex optimization based strategy to deal with uncertainty in the observations of a classification problem. We assume that instead of a sample (xi, yi) a distribution over (xi, yi) is specified. In particular, we derive a robust formulation when the distribution is given by a normal distribution. It leads to Second Order Cone Programming formulation. Our method is applied to the problem of missing data, where it outperforms direct imputation.
Chiranjib Bhattacharyya, Pannagadatta K. Shivaswam
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where NIPS
Authors Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, Alex J. Smola
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