Semi-explicit mixture of experts based on information table
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-021-03607-w.pdf
Reference37 articles.
1. Abbasi E, Shiri M, Ghatee M (2016) Root-quatric mixture of experts for complex classification problems. Expert Syst Appl 53:192–203. https://doi.org/10.1016/j.eswa.2016.01.040
2. Alshaikh R, Bouraoui Z, Jeawak S et al (2020) A mixture-of-experts model for learning multi-facet entity embeddings. In: Proceedings of the 28th International Conference on Computational Linguistics, pp 5124–5135
3. Armano G, Hatami N (2010) Mixture of random prototype-based local experts. International conference on hybrid artificial intelligence systems. Springer, pp 548–556. https://doi.org/10.1007/978-3-642-13769-3_67
4. Armano G, Hatami N (2011) Run-time performance analysis of the mixture of experts model. Computer recognition sytems. Springer, Berlin, pp 167–175. https://doi.org/10.1007/978-3-642-20320-6_18
5. Armano G, Tamponi E (2018) Building forests of local trees. Pattern Recogn 76:380–390. https://doi.org/10.1016/j.patcog.2017.11.017
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