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arXiv · 1506.01520

Sparse Robust Classification via the Kernel Mean

Brendan van Rooyen·Aditya Krishna Menon·Robert C. Williamson
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Abstract

Many leading classification algorithms output a classifier that is a weighted average of kernel evaluations. Optimizing these weights is a nontrivial problem that still attracts much research effort. Furthermore, explaining these methods to the uninitiated is a difficult task. Letting all the weights be equal leads to a conceptually simpler classification rule, one that requires little effort to motivate or explain, the mean. Here we explore the consistency, robustness and sparsification of this simple classification rule.

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Brendan van Rooyen, Aditya Krishna Menon, Robert C. Williamson. 2015-06-04. Sparse Robust Classification via the Kernel Mean. https://arxiv.org/abs/1506.01520

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