Author:
Angioli Marco,Barbirotta Marcello,Cheikh Abdallah,Mastrandrea Antonio,Menichelli Francesco,Jamili Saeid,Olivieri Mauro
Publisher
Springer Nature Switzerland
Reference10 articles.
1. Li, L., Chu, W., Langford, J., Schapire, R.E.: A contextual-bandit approach to personalized news article recommendation. In: Proceedings of the 19th International Conference on World Wide Web, pp. 661–670 (2010)
2. Auer, P., Cesa-Bianchi, N., Fischer, P.: Finite-time analysis of the multiarmed bandit problem. Mach. Learn. 47(2), 235–256 (2002)
3. Durand, A., Achilleos, C., Iacovides, D., Strati, K., Mitsis, G.D., Pineau, J.: Contextual bandits for adapting treatment in a mouse model of de novo carcinogenesis. In: Machine Learning for Healthcare Conference, pp. 67–82. PMLR (2018)
4. Amat, F., Chandrashekar, A., Jebara, T., Basilico, J.: Artwork personalization at netflix. In: Proceedings of the 12th ACM Conference on Recommender Systems, RecSys ’18, New York, NY, USA, pp. 487–488. Association for Computing Machinery (2018)
5. Lecture Notes in Electrical Engineering;A Cheikh,2020
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Hardware-Oriented QAM Demodulation Method Driven by AW-SOM Machine Learning;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29