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August 1, 2010Journal of Machine Learning Research

Training and Testing Low-degree Polynomial Data Mappings via Linear SVM

ChangYin-Wen HsiehCho-Jui ChangKai-Wei RinggaardMichael LinChih-Jen

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Abstract

Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is often time consumi...

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Cite This Study

ChangYin-Wen et al. (2010) studied this question.

synapsesocial.com/papers/6a199224a2165c1276dec1c4 https://doi.org/10.5555/1756006.1859899

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