Higher-Order Factorization Machines


Factorization machines (FMs) are a supervised learning approach that can use second-order feature combinations even when the data is very high-dimensional. Unfortunately, despite increasing interest in FMs, there exists to date no efficient training algorithm for higher-order FMs (HOFMs). In this paper, we present the first generic yet efficient algorithms… (More)
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Citations per Year

Citation Velocity: 33

Averaging 33 citations per year over the last 2 years.

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