Scaling Factorization Machines to Relational Data Steffen Rendle University of Konstanz Konstanz Germany steffen
rendleunikonstanzde ABSTRACT The most common approach in predictive modeling is to de scribe cases with feature vectors aka design matrix Many machine learning methods such as linear regression or sup port vector machines rely on this representation
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