A Distributed Coordinate Descent Algorithm for Learning Factorization Machine-Reference-Cited by-同舟云学术

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A Distributed Coordinate Descent Algorithm for Learning Factorization Machine

Published:2020 Issue: Volume: Page:881-893
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
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Author:

Zhao Kankan,Zhang Jing,Zhang Liangfu,Li Cuiping,Chen Hong

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-47436-2_66

Reference20 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);M Blondel,2015

2. Blondel, M., et al.: Higher-order factorization machines. In: NIPS 2016, pp. 3351–3359 (2016)

3. Blondel, M., et al.: Polynomial networks and factorization machines: new insights and efficient training algorithms. In: ICML 2016, pp. 850–858 (2016)

4. Cao, B., et al.: Multi-view machines. In: WSDM 2016, pp. 427–436 (2016)

5. Freudenthaler, C., et al.: Bayesian factorization machines (2011)

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1. Scaling Machine Learning with a Ring-based Distributed Framework;Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence;2023-12-08

2. Research on Disease Prediction Based on Improved DeepFM and IoMT;IEEE Access;2021

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