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https://issues.apache.org/jira/browse/MADLIB-938?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15088153#comment-15088153
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Xiaocheng Tang commented on MADLIB-938:
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The approach is described in [Kar and
Karnick|http://jmlr.csail.mit.edu/proceedings/papers/v22/kar12/kar12.pdf] (see
Algorithm 1 Random Maclaurin Feature Maps), which made use of the Maclaurin
series expansion to approximate inner product kernels (with polynomial kernel
as a special case).
> Non-linear SVM - polynomial kernel
> ----------------------------------
>
> Key: MADLIB-938
> URL: https://issues.apache.org/jira/browse/MADLIB-938
> Project: Apache MADlib
> Issue Type: New Feature
> Components: Module: Support Vector Machines
> Reporter: Frank McQuillan
> Assignee: Xiaocheng Tang
> Fix For: v1.9
>
>
> Story
> As a MADlib developer, I want to implement a polynomial kernel in the SVM
> algorithm, so that I get better classification/regression results for certain
> types of data sets.
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