Tensor factorization for multi-relational learning

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Abstract

Tensor factorization has emerged as a promising approach for solving relational learning tasks. Here we review recent results on a particular tensor factorization approach, i.e. Rescal, which has demonstrated state-of-the-art relational learning results, while scaling to knowledge bases with millions of entities and billions of known facts. © 2013 Springer-Verlag.

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APA

Nickel, M., & Tresp, V. (2013). Tensor factorization for multi-relational learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8190 LNAI, pp. 617–621). https://doi.org/10.1007/978-3-642-40994-3_40

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