Scaling factorization machines to relational data

PVLDB, 2013.

Cited by: 70|Bibtex|Views96|DOI:https://doi.org/10.14778/2535573.2488340
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

The most common approach in predictive modeling is to describe cases with feature vectors (aka design matrix). Many machine learning methods such as linear regression or support vector machines rely on this representation. However, when the underlying data has strong relational patterns, especially relations with high cardinality, the des...More

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